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Tripti Gautam | Guru Gobind Singh Indraprastha University - Academia.edu
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class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95609716/15_Ms_Data_Mining_Techniques_for_Software_Defect_Prediction">15 Ms Data Mining Techniques for Software Defect Prediction</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Quality and reliability are the major challenges faced in a secure software development process. ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Quality and reliability are the major challenges faced in a secure software development process. There are major software cost overruns when a software product with bugs in its various components is deployed at client&#39;s side. The software warehouse is commonly used as record keeping repository which is mostly required while adding new features or fixing bugs. Software bugs lead to inaccurate and different results. As an outcome, the software projects run late, are cancelled or becomes unreliable after deployment This paper entails a detailed literature review on the existence of software failures in the recent past, while briefly discussing about the severe repercussions of these failures. In order to identify these bugs timely, different data mining techniques have been discussed, and used by the researchers profusely, simultaneously with the bug tracking systems to locate the occurrence of the bugs precisely. Bug tracking system plays a vital role in software project as poorly...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="448272788a0941c277a71aa6ba4d6f27" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97744582,"asset_id":95609716,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97744582/download_file?st=MTczMjQyMTI1OSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95609716"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95609716"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95609716; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=95609716]").text(description); $(".js-view-count[data-work-id=95609716]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 95609716; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='95609716']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 95609716, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "448272788a0941c277a71aa6ba4d6f27" } } $('.js-work-strip[data-work-id=95609716]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":95609716,"title":"15 Ms Data Mining Techniques for Software Defect Prediction","translated_title":"","metadata":{"abstract":"Quality and reliability are the major challenges faced in a secure software development process. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="78837244"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/78837244/Role_of_Technology_in_Globalization_with_Reference_to_Business_Continuity"><img alt="Research paper thumbnail of Role of Technology in Globalization with Reference to Business Continuity" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/78837244/Role_of_Technology_in_Globalization_with_Reference_to_Business_Continuity">Role of Technology in Globalization with Reference to Business Continuity</a></div><div class="wp-workCard_item"><span>Global Journal of Enterprise Information System</span><span>, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Technology is the vital force in the modern form of business globalization. Technology has revolu...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Technology is the vital force in the modern form of business globalization. Technology has revolutionized the global economy and has become critical competitive strategy. It has globalized the world, which drive all the countries to more ethical standards. This paper attempts to show how Technology revolution is sweeping the globe and the transition from manual to electronic delivery of services both in public and private sector leads to advancement of business community throughout the world. Globalization has lead to new markets and information technology is one of the technologies fostered to the new market in this increasing competitive world. Technology has helped us in overcoming the major hurdles of globalization and international trade such as trade barrier, lack of common ethical standard, transportation cost and delay in information exchange, thereby changing the market place. 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This paper discussed one of the branches of AI i.e. Machine learning as the name suggests it focuses on the development of the computers especially their programs that access the data that can be used for self-development. The main objective of the paper is to compare the best machine learning model by using the performance parameter R squared and Mean square Error (MSE). The data set was taken from the promise repository for the analysis. Feature selection technique Boruta was applied to find the important/confirmed variables from the dataset which are having information regarding the JAVA projects. This paper finds out that among different algorithms which one outperforms when the comparative analysis was done to find the best model.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="78837243"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="78837243"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 78837243; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=78837243]").text(description); $(".js-view-count[data-work-id=78837243]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 78837243; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='78837243']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 78837243, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=78837243]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":78837243,"title":"Comparative Analysis of Different Machine Learning Techniques","translated_title":"","metadata":{"abstract":"Artificial learning (AI) is one of the areas of computer science which develops the system in a way that our system starts learning and gives the reaction as a human brain does. 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This paper finds out that among different algorithms which one outperforms when the comparative analysis was done to find the best model.","publication_date":{"day":null,"month":null,"year":2019,"errors":{}}},"translated_abstract":"Artificial learning (AI) is one of the areas of computer science which develops the system in a way that our system starts learning and gives the reaction as a human brain does. This paper discussed one of the branches of AI i.e. Machine learning as the name suggests it focuses on the development of the computers especially their programs that access the data that can be used for self-development. The main objective of the paper is to compare the best machine learning model by using the performance parameter R squared and Mean square Error (MSE). The data set was taken from the promise repository for the analysis. Feature selection technique Boruta was applied to find the important/confirmed variables from the dataset which are having information regarding the JAVA projects. This paper finds out that among different algorithms which one outperforms when the comparative analysis was done to find the best model.","internal_url":"https://www.academia.edu/78837243/Comparative_Analysis_of_Different_Machine_Learning_Techniques","translated_internal_url":"","created_at":"2022-05-09T03:28:47.173-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":99080811,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Comparative_Analysis_of_Different_Machine_Learning_Techniques","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":99080811,"first_name":"Tripti","middle_initials":null,"last_name":"Gautam","page_name":"TriptiGautam","domain_name":"ggsipu","created_at":"2018-12-12T21:12:09.574-08:00","display_name":"Tripti Gautam","url":"https://ggsipu.academia.edu/TriptiGautam"},"attachments":[],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence"},{"id":2008,"name":"Machine Learning","url":"https://www.academia.edu/Documents/in/Machine_Learning"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="78837242"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/78837242/Security_Analysis_of_Cyber_Attacks_Using_Machine_Learning_Algorithms_in_eGovernance_Projects"><img alt="Research paper thumbnail of Security Analysis of Cyber Attacks Using Machine Learning Algorithms in eGovernance Projects" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/78837242/Security_Analysis_of_Cyber_Attacks_Using_Machine_Learning_Algorithms_in_eGovernance_Projects">Security Analysis of Cyber Attacks Using Machine Learning Algorithms in eGovernance Projects</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Different nations are striving to implement e-governance on a full scale. The major issue is the ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Different nations are striving to implement e-governance on a full scale. The major issue is the problem of secure transactions with high privacy. In order to make sure that the government is functioning properly, there must be a high level of transparency in the system with high accountability, integrity and confidentiality. The risks and challenges that arises by implementing the e-governance are chiefly because of the poor security in free WiFi networks which are given for accessing the e-services. Hence, researchers must develop methods and tools which can react to the attacks and defend themselves autonomously. This paper helps in analysis of few categories of cyber attacks using machine learning algorithms.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="78837242"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="78837242"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 78837242; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=78837242]").text(description); $(".js-view-count[data-work-id=78837242]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 78837242; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='78837242']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 78837242, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=78837242]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":78837242,"title":"Security Analysis of Cyber Attacks Using Machine Learning Algorithms in eGovernance Projects","translated_title":"","metadata":{"abstract":"Different nations are striving to implement e-governance on a full scale. The major issue is the problem of secure transactions with high privacy. In order to make sure that the government is functioning properly, there must be a high level of transparency in the system with high accountability, integrity and confidentiality. The risks and challenges that arises by implementing the e-governance are chiefly because of the poor security in free WiFi networks which are given for accessing the e-services. Hence, researchers must develop methods and tools which can react to the attacks and defend themselves autonomously. This paper helps in analysis of few categories of cyber attacks using machine learning algorithms.","publication_date":{"day":null,"month":null,"year":2019,"errors":{}}},"translated_abstract":"Different nations are striving to implement e-governance on a full scale. The major issue is the problem of secure transactions with high privacy. In order to make sure that the government is functioning properly, there must be a high level of transparency in the system with high accountability, integrity and confidentiality. The risks and challenges that arises by implementing the e-governance are chiefly because of the poor security in free WiFi networks which are given for accessing the e-services. Hence, researchers must develop methods and tools which can react to the attacks and defend themselves autonomously. This paper helps in analysis of few categories of cyber attacks using machine learning algorithms.","internal_url":"https://www.academia.edu/78837242/Security_Analysis_of_Cyber_Attacks_Using_Machine_Learning_Algorithms_in_eGovernance_Projects","translated_internal_url":"","created_at":"2022-05-09T03:28:47.064-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":99080811,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Security_Analysis_of_Cyber_Attacks_Using_Machine_Learning_Algorithms_in_eGovernance_Projects","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":99080811,"first_name":"Tripti","middle_initials":null,"last_name":"Gautam","page_name":"TriptiGautam","domain_name":"ggsipu","created_at":"2018-12-12T21:12:09.574-08:00","display_name":"Tripti Gautam","url":"https://ggsipu.academia.edu/TriptiGautam"},"attachments":[],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="78837241"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/78837241/A_Study_of_Cyber_Security_in_Web_Environment"><img alt="Research paper thumbnail of A Study of Cyber Security in Web Environment" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/78837241/A_Study_of_Cyber_Security_in_Web_Environment">A Study of Cyber Security in Web Environment</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Over the last few years, threats in cyberspace have risen dramatically. Cyberspace is composed of...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Over the last few years, threats in cyberspace have risen dramatically. Cyberspace is composed of hundreds of thousands of interconnected computers, servers, routers, switches, and fiber optic cables that allow the smooth working of infrastructures in any organization. Since cyberspace is widely adopted and used worldwide, there is need of healthy functioning of cyberspace in terms of economical and national security. There are number of policies, strategies, actions that are taking place to reduce the threat of cybercrime in Today&#39;s world. This paper focuses on the “Need of Cyber security” and various areas of emerging technologies where Cyber Threats exist in different forms. Some of the crimes in various areas that occurred are also studied.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="78837241"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="78837241"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 78837241; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=78837241]").text(description); $(".js-view-count[data-work-id=78837241]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 78837241; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='78837241']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 78837241, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=78837241]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":78837241,"title":"A Study of Cyber Security in Web Environment","translated_title":"","metadata":{"abstract":"Over the last few years, threats in cyberspace have risen dramatically. Cyberspace is composed of hundreds of thousands of interconnected computers, servers, routers, switches, and fiber optic cables that allow the smooth working of infrastructures in any organization. Since cyberspace is widely adopted and used worldwide, there is need of healthy functioning of cyberspace in terms of economical and national security. There are number of policies, strategies, actions that are taking place to reduce the threat of cybercrime in Today\u0026#39;s world. This paper focuses on the “Need of Cyber security” and various areas of emerging technologies where Cyber Threats exist in different forms. Some of the crimes in various areas that occurred are also studied.","publication_date":{"day":null,"month":null,"year":2014,"errors":{}}},"translated_abstract":"Over the last few years, threats in cyberspace have risen dramatically. Cyberspace is composed of hundreds of thousands of interconnected computers, servers, routers, switches, and fiber optic cables that allow the smooth working of infrastructures in any organization. Since cyberspace is widely adopted and used worldwide, there is need of healthy functioning of cyberspace in terms of economical and national security. There are number of policies, strategies, actions that are taking place to reduce the threat of cybercrime in Today\u0026#39;s world. This paper focuses on the “Need of Cyber security” and various areas of emerging technologies where Cyber Threats exist in different forms. Some of the crimes in various areas that occurred are also studied.","internal_url":"https://www.academia.edu/78837241/A_Study_of_Cyber_Security_in_Web_Environment","translated_internal_url":"","created_at":"2022-05-09T03:28:46.970-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":99080811,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"A_Study_of_Cyber_Security_in_Web_Environment","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":99080811,"first_name":"Tripti","middle_initials":null,"last_name":"Gautam","page_name":"TriptiGautam","domain_name":"ggsipu","created_at":"2018-12-12T21:12:09.574-08:00","display_name":"Tripti Gautam","url":"https://ggsipu.academia.edu/TriptiGautam"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":13923,"name":"Computer Security","url":"https://www.academia.edu/Documents/in/Computer_Security"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="78837169"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/78837169/Optimal_Metrics_Selection_for_Software_Defect_Prediction"><img alt="Research paper thumbnail of Optimal Metrics Selection for Software Defect Prediction" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/78837169/Optimal_Metrics_Selection_for_Software_Defect_Prediction">Optimal Metrics Selection for Software Defect Prediction</a></div><div class="wp-workCard_item"><span>International Journal of Data Mining and Emerging Technologies</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Software metrics are a very important component in software development area. The most important ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Software metrics are a very important component in software development area. The most important challenge of any software developer is that ‘the software should be 100% accurate or with minimal defect’ when it reaches to the end-user. The earlier the defect is detected, the earlier the development cost also gets reduced. This is a fact that more complex the data or software, there is a more probability of the defect. So it is always desirable to use only the relevant and important data for the software development which will definitely reduce time and cost of the developer. The main objective of this paper is to find the important and relevant metrics in the software modules which will reduce the attribute in a data set. More the number of variables, more complex will be the system and more the defects; so it is always preferable to select the small feature set using feature selection and focus only on the important variable. The data set for the software bug prediction Chidamber and Kemerer metrics and Object Oriented metrics were taken from the Promise repository which is publicly available. The experiment from the 10 software modules (Jureczko M. Software Engineering: An International Journal 2011;1(1):95), ant, ivy, tomcat, berek, camel, jedit, lucene, poi, synapse and velocity, using feature selection techniques, Boruta, regsubset and FSelector, has shown that response for a class, lines of code and weighted methods for class are the most optimal metrics, whereas number of children and Depth of Inheritance Tree are least significant.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="78837169"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="78837169"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 78837169; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=78837169]").text(description); $(".js-view-count[data-work-id=78837169]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 78837169; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='78837169']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 78837169, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=78837169]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":78837169,"title":"Optimal Metrics Selection for Software Defect Prediction","translated_title":"","metadata":{"abstract":"Software metrics are a very important component in software development area. The most important challenge of any software developer is that ‘the software should be 100% accurate or with minimal defect’ when it reaches to the end-user. The earlier the defect is detected, the earlier the development cost also gets reduced. This is a fact that more complex the data or software, there is a more probability of the defect. So it is always desirable to use only the relevant and important data for the software development which will definitely reduce time and cost of the developer. The main objective of this paper is to find the important and relevant metrics in the software modules which will reduce the attribute in a data set. More the number of variables, more complex will be the system and more the defects; so it is always preferable to select the small feature set using feature selection and focus only on the important variable. The data set for the software bug prediction Chidamber and Kemerer metrics and Object Oriented metrics were taken from the Promise repository which is publicly available. The experiment from the 10 software modules (Jureczko M. Software Engineering: An International Journal 2011;1(1):95), ant, ivy, tomcat, berek, camel, jedit, lucene, poi, synapse and velocity, using feature selection techniques, Boruta, regsubset and FSelector, has shown that response for a class, lines of code and weighted methods for class are the most optimal metrics, whereas number of children and Depth of Inheritance Tree are least significant.","publisher":"Diva Enterprises Private Limited","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"International Journal of Data Mining and Emerging Technologies"},"translated_abstract":"Software metrics are a very important component in software development area. The most important challenge of any software developer is that ‘the software should be 100% accurate or with minimal defect’ when it reaches to the end-user. The earlier the defect is detected, the earlier the development cost also gets reduced. This is a fact that more complex the data or software, there is a more probability of the defect. So it is always desirable to use only the relevant and important data for the software development which will definitely reduce time and cost of the developer. The main objective of this paper is to find the important and relevant metrics in the software modules which will reduce the attribute in a data set. More the number of variables, more complex will be the system and more the defects; so it is always preferable to select the small feature set using feature selection and focus only on the important variable. The data set for the software bug prediction Chidamber and Kemerer metrics and Object Oriented metrics were taken from the Promise repository which is publicly available. The experiment from the 10 software modules (Jureczko M. Software Engineering: An International Journal 2011;1(1):95), ant, ivy, tomcat, berek, camel, jedit, lucene, poi, synapse and velocity, using feature selection techniques, Boruta, regsubset and FSelector, has shown that response for a class, lines of code and weighted methods for class are the most optimal metrics, whereas number of children and Depth of Inheritance Tree are least significant.","internal_url":"https://www.academia.edu/78837169/Optimal_Metrics_Selection_for_Software_Defect_Prediction","translated_internal_url":"","created_at":"2022-05-09T03:28:17.546-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":99080811,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Optimal_Metrics_Selection_for_Software_Defect_Prediction","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":99080811,"first_name":"Tripti","middle_initials":null,"last_name":"Gautam","page_name":"TriptiGautam","domain_name":"ggsipu","created_at":"2018-12-12T21:12:09.574-08:00","display_name":"Tripti Gautam","url":"https://ggsipu.academia.edu/TriptiGautam"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="67508654"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/67508654/Role_of_Technology_in_Globalization_with_reference_to_Business_Continuity"><img alt="Research paper thumbnail of Role of Technology in Globalization with reference to Business Continuity" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/67508654/Role_of_Technology_in_Globalization_with_reference_to_Business_Continuity">Role of Technology in Globalization with reference to Business Continuity</a></div><div class="wp-workCard_item"><span>Global Journal of Enterprise Information …</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">... Page 70 Harmeet Malhotra Tripti Lamba IITM Jankpuri triptigautam@yahoo.co.in Page 2. Global J...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">... Page 70 Harmeet Malhotra Tripti Lamba IITM Jankpuri <a href="mailto:triptigautam@yahoo.co.in" rel="nofollow">triptigautam@yahoo.co.in</a> Page 2. 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There are major software cost overruns when a software product with bugs in its various components is deployed at client&#39;s side. The software warehouse is commonly used as record keeping repository which is mostly required while adding new features or fixing bugs. Software bugs lead to inaccurate and different results. As an outcome, the software projects run late, are cancelled or becomes unreliable after deployment This paper entails a detailed literature review on the existence of software failures in the recent past, while briefly discussing about the severe repercussions of these failures. In order to identify these bugs timely, different data mining techniques have been discussed, and used by the researchers profusely, simultaneously with the bug tracking systems to locate the occurrence of the bugs precisely. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="78837244"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/78837244/Role_of_Technology_in_Globalization_with_Reference_to_Business_Continuity"><img alt="Research paper thumbnail of Role of Technology in Globalization with Reference to Business Continuity" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/78837244/Role_of_Technology_in_Globalization_with_Reference_to_Business_Continuity">Role of Technology in Globalization with Reference to Business Continuity</a></div><div class="wp-workCard_item"><span>Global Journal of Enterprise Information System</span><span>, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Technology is the vital force in the modern form of business globalization. Technology has revolu...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Technology is the vital force in the modern form of business globalization. Technology has revolutionized the global economy and has become critical competitive strategy. It has globalized the world, which drive all the countries to more ethical standards. This paper attempts to show how Technology revolution is sweeping the globe and the transition from manual to electronic delivery of services both in public and private sector leads to advancement of business community throughout the world. Globalization has lead to new markets and information technology is one of the technologies fostered to the new market in this increasing competitive world. Technology has helped us in overcoming the major hurdles of globalization and international trade such as trade barrier, lack of common ethical standard, transportation cost and delay in information exchange, thereby changing the market place. 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This paper discussed one of the branches of AI i.e. Machine learning as the name suggests it focuses on the development of the computers especially their programs that access the data that can be used for self-development. The main objective of the paper is to compare the best machine learning model by using the performance parameter R squared and Mean square Error (MSE). The data set was taken from the promise repository for the analysis. Feature selection technique Boruta was applied to find the important/confirmed variables from the dataset which are having information regarding the JAVA projects. This paper finds out that among different algorithms which one outperforms when the comparative analysis was done to find the best model.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="78837243"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="78837243"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 78837243; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=78837243]").text(description); $(".js-view-count[data-work-id=78837243]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 78837243; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='78837243']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 78837243, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=78837243]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":78837243,"title":"Comparative Analysis of Different Machine Learning Techniques","translated_title":"","metadata":{"abstract":"Artificial learning (AI) is one of the areas of computer science which develops the system in a way that our system starts learning and gives the reaction as a human brain does. 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This paper finds out that among different algorithms which one outperforms when the comparative analysis was done to find the best model.","publication_date":{"day":null,"month":null,"year":2019,"errors":{}}},"translated_abstract":"Artificial learning (AI) is one of the areas of computer science which develops the system in a way that our system starts learning and gives the reaction as a human brain does. This paper discussed one of the branches of AI i.e. Machine learning as the name suggests it focuses on the development of the computers especially their programs that access the data that can be used for self-development. The main objective of the paper is to compare the best machine learning model by using the performance parameter R squared and Mean square Error (MSE). The data set was taken from the promise repository for the analysis. Feature selection technique Boruta was applied to find the important/confirmed variables from the dataset which are having information regarding the JAVA projects. This paper finds out that among different algorithms which one outperforms when the comparative analysis was done to find the best model.","internal_url":"https://www.academia.edu/78837243/Comparative_Analysis_of_Different_Machine_Learning_Techniques","translated_internal_url":"","created_at":"2022-05-09T03:28:47.173-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":99080811,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Comparative_Analysis_of_Different_Machine_Learning_Techniques","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":99080811,"first_name":"Tripti","middle_initials":null,"last_name":"Gautam","page_name":"TriptiGautam","domain_name":"ggsipu","created_at":"2018-12-12T21:12:09.574-08:00","display_name":"Tripti Gautam","url":"https://ggsipu.academia.edu/TriptiGautam"},"attachments":[],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence"},{"id":2008,"name":"Machine Learning","url":"https://www.academia.edu/Documents/in/Machine_Learning"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="78837242"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/78837242/Security_Analysis_of_Cyber_Attacks_Using_Machine_Learning_Algorithms_in_eGovernance_Projects"><img alt="Research paper thumbnail of Security Analysis of Cyber Attacks Using Machine Learning Algorithms in eGovernance Projects" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/78837242/Security_Analysis_of_Cyber_Attacks_Using_Machine_Learning_Algorithms_in_eGovernance_Projects">Security Analysis of Cyber Attacks Using Machine Learning Algorithms in eGovernance Projects</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Different nations are striving to implement e-governance on a full scale. The major issue is the ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Different nations are striving to implement e-governance on a full scale. The major issue is the problem of secure transactions with high privacy. In order to make sure that the government is functioning properly, there must be a high level of transparency in the system with high accountability, integrity and confidentiality. The risks and challenges that arises by implementing the e-governance are chiefly because of the poor security in free WiFi networks which are given for accessing the e-services. Hence, researchers must develop methods and tools which can react to the attacks and defend themselves autonomously. This paper helps in analysis of few categories of cyber attacks using machine learning algorithms.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="78837242"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="78837242"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 78837242; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=78837242]").text(description); $(".js-view-count[data-work-id=78837242]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 78837242; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='78837242']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 78837242, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=78837242]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":78837242,"title":"Security Analysis of Cyber Attacks Using Machine Learning Algorithms in eGovernance Projects","translated_title":"","metadata":{"abstract":"Different nations are striving to implement e-governance on a full scale. The major issue is the problem of secure transactions with high privacy. In order to make sure that the government is functioning properly, there must be a high level of transparency in the system with high accountability, integrity and confidentiality. The risks and challenges that arises by implementing the e-governance are chiefly because of the poor security in free WiFi networks which are given for accessing the e-services. Hence, researchers must develop methods and tools which can react to the attacks and defend themselves autonomously. This paper helps in analysis of few categories of cyber attacks using machine learning algorithms.","publication_date":{"day":null,"month":null,"year":2019,"errors":{}}},"translated_abstract":"Different nations are striving to implement e-governance on a full scale. The major issue is the problem of secure transactions with high privacy. In order to make sure that the government is functioning properly, there must be a high level of transparency in the system with high accountability, integrity and confidentiality. The risks and challenges that arises by implementing the e-governance are chiefly because of the poor security in free WiFi networks which are given for accessing the e-services. Hence, researchers must develop methods and tools which can react to the attacks and defend themselves autonomously. This paper helps in analysis of few categories of cyber attacks using machine learning algorithms.","internal_url":"https://www.academia.edu/78837242/Security_Analysis_of_Cyber_Attacks_Using_Machine_Learning_Algorithms_in_eGovernance_Projects","translated_internal_url":"","created_at":"2022-05-09T03:28:47.064-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":99080811,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Security_Analysis_of_Cyber_Attacks_Using_Machine_Learning_Algorithms_in_eGovernance_Projects","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":99080811,"first_name":"Tripti","middle_initials":null,"last_name":"Gautam","page_name":"TriptiGautam","domain_name":"ggsipu","created_at":"2018-12-12T21:12:09.574-08:00","display_name":"Tripti Gautam","url":"https://ggsipu.academia.edu/TriptiGautam"},"attachments":[],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="78837241"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/78837241/A_Study_of_Cyber_Security_in_Web_Environment"><img alt="Research paper thumbnail of A Study of Cyber Security in Web Environment" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/78837241/A_Study_of_Cyber_Security_in_Web_Environment">A Study of Cyber Security in Web Environment</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Over the last few years, threats in cyberspace have risen dramatically. Cyberspace is composed of...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Over the last few years, threats in cyberspace have risen dramatically. Cyberspace is composed of hundreds of thousands of interconnected computers, servers, routers, switches, and fiber optic cables that allow the smooth working of infrastructures in any organization. Since cyberspace is widely adopted and used worldwide, there is need of healthy functioning of cyberspace in terms of economical and national security. There are number of policies, strategies, actions that are taking place to reduce the threat of cybercrime in Today&#39;s world. This paper focuses on the “Need of Cyber security” and various areas of emerging technologies where Cyber Threats exist in different forms. Some of the crimes in various areas that occurred are also studied.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="78837241"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="78837241"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 78837241; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=78837241]").text(description); $(".js-view-count[data-work-id=78837241]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 78837241; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='78837241']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 78837241, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=78837241]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":78837241,"title":"A Study of Cyber Security in Web Environment","translated_title":"","metadata":{"abstract":"Over the last few years, threats in cyberspace have risen dramatically. Cyberspace is composed of hundreds of thousands of interconnected computers, servers, routers, switches, and fiber optic cables that allow the smooth working of infrastructures in any organization. Since cyberspace is widely adopted and used worldwide, there is need of healthy functioning of cyberspace in terms of economical and national security. There are number of policies, strategies, actions that are taking place to reduce the threat of cybercrime in Today\u0026#39;s world. This paper focuses on the “Need of Cyber security” and various areas of emerging technologies where Cyber Threats exist in different forms. Some of the crimes in various areas that occurred are also studied.","publication_date":{"day":null,"month":null,"year":2014,"errors":{}}},"translated_abstract":"Over the last few years, threats in cyberspace have risen dramatically. Cyberspace is composed of hundreds of thousands of interconnected computers, servers, routers, switches, and fiber optic cables that allow the smooth working of infrastructures in any organization. Since cyberspace is widely adopted and used worldwide, there is need of healthy functioning of cyberspace in terms of economical and national security. There are number of policies, strategies, actions that are taking place to reduce the threat of cybercrime in Today\u0026#39;s world. This paper focuses on the “Need of Cyber security” and various areas of emerging technologies where Cyber Threats exist in different forms. Some of the crimes in various areas that occurred are also studied.","internal_url":"https://www.academia.edu/78837241/A_Study_of_Cyber_Security_in_Web_Environment","translated_internal_url":"","created_at":"2022-05-09T03:28:46.970-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":99080811,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"A_Study_of_Cyber_Security_in_Web_Environment","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":99080811,"first_name":"Tripti","middle_initials":null,"last_name":"Gautam","page_name":"TriptiGautam","domain_name":"ggsipu","created_at":"2018-12-12T21:12:09.574-08:00","display_name":"Tripti Gautam","url":"https://ggsipu.academia.edu/TriptiGautam"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":13923,"name":"Computer Security","url":"https://www.academia.edu/Documents/in/Computer_Security"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="78837169"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/78837169/Optimal_Metrics_Selection_for_Software_Defect_Prediction"><img alt="Research paper thumbnail of Optimal Metrics Selection for Software Defect Prediction" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/78837169/Optimal_Metrics_Selection_for_Software_Defect_Prediction">Optimal Metrics Selection for Software Defect Prediction</a></div><div class="wp-workCard_item"><span>International Journal of Data Mining and Emerging Technologies</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Software metrics are a very important component in software development area. The most important ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Software metrics are a very important component in software development area. The most important challenge of any software developer is that ‘the software should be 100% accurate or with minimal defect’ when it reaches to the end-user. The earlier the defect is detected, the earlier the development cost also gets reduced. This is a fact that more complex the data or software, there is a more probability of the defect. So it is always desirable to use only the relevant and important data for the software development which will definitely reduce time and cost of the developer. The main objective of this paper is to find the important and relevant metrics in the software modules which will reduce the attribute in a data set. More the number of variables, more complex will be the system and more the defects; so it is always preferable to select the small feature set using feature selection and focus only on the important variable. The data set for the software bug prediction Chidamber and Kemerer metrics and Object Oriented metrics were taken from the Promise repository which is publicly available. The experiment from the 10 software modules (Jureczko M. Software Engineering: An International Journal 2011;1(1):95), ant, ivy, tomcat, berek, camel, jedit, lucene, poi, synapse and velocity, using feature selection techniques, Boruta, regsubset and FSelector, has shown that response for a class, lines of code and weighted methods for class are the most optimal metrics, whereas number of children and Depth of Inheritance Tree are least significant.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="78837169"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="78837169"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 78837169; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=78837169]").text(description); $(".js-view-count[data-work-id=78837169]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 78837169; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='78837169']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 78837169, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=78837169]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":78837169,"title":"Optimal Metrics Selection for Software Defect Prediction","translated_title":"","metadata":{"abstract":"Software metrics are a very important component in software development area. The most important challenge of any software developer is that ‘the software should be 100% accurate or with minimal defect’ when it reaches to the end-user. The earlier the defect is detected, the earlier the development cost also gets reduced. This is a fact that more complex the data or software, there is a more probability of the defect. So it is always desirable to use only the relevant and important data for the software development which will definitely reduce time and cost of the developer. The main objective of this paper is to find the important and relevant metrics in the software modules which will reduce the attribute in a data set. More the number of variables, more complex will be the system and more the defects; so it is always preferable to select the small feature set using feature selection and focus only on the important variable. The data set for the software bug prediction Chidamber and Kemerer metrics and Object Oriented metrics were taken from the Promise repository which is publicly available. The experiment from the 10 software modules (Jureczko M. Software Engineering: An International Journal 2011;1(1):95), ant, ivy, tomcat, berek, camel, jedit, lucene, poi, synapse and velocity, using feature selection techniques, Boruta, regsubset and FSelector, has shown that response for a class, lines of code and weighted methods for class are the most optimal metrics, whereas number of children and Depth of Inheritance Tree are least significant.","publisher":"Diva Enterprises Private Limited","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"International Journal of Data Mining and Emerging Technologies"},"translated_abstract":"Software metrics are a very important component in software development area. The most important challenge of any software developer is that ‘the software should be 100% accurate or with minimal defect’ when it reaches to the end-user. The earlier the defect is detected, the earlier the development cost also gets reduced. This is a fact that more complex the data or software, there is a more probability of the defect. So it is always desirable to use only the relevant and important data for the software development which will definitely reduce time and cost of the developer. The main objective of this paper is to find the important and relevant metrics in the software modules which will reduce the attribute in a data set. More the number of variables, more complex will be the system and more the defects; so it is always preferable to select the small feature set using feature selection and focus only on the important variable. The data set for the software bug prediction Chidamber and Kemerer metrics and Object Oriented metrics were taken from the Promise repository which is publicly available. The experiment from the 10 software modules (Jureczko M. Software Engineering: An International Journal 2011;1(1):95), ant, ivy, tomcat, berek, camel, jedit, lucene, poi, synapse and velocity, using feature selection techniques, Boruta, regsubset and FSelector, has shown that response for a class, lines of code and weighted methods for class are the most optimal metrics, whereas number of children and Depth of Inheritance Tree are least significant.","internal_url":"https://www.academia.edu/78837169/Optimal_Metrics_Selection_for_Software_Defect_Prediction","translated_internal_url":"","created_at":"2022-05-09T03:28:17.546-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":99080811,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Optimal_Metrics_Selection_for_Software_Defect_Prediction","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":99080811,"first_name":"Tripti","middle_initials":null,"last_name":"Gautam","page_name":"TriptiGautam","domain_name":"ggsipu","created_at":"2018-12-12T21:12:09.574-08:00","display_name":"Tripti Gautam","url":"https://ggsipu.academia.edu/TriptiGautam"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="67508654"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/67508654/Role_of_Technology_in_Globalization_with_reference_to_Business_Continuity"><img alt="Research paper thumbnail of Role of Technology in Globalization with reference to Business Continuity" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/67508654/Role_of_Technology_in_Globalization_with_reference_to_Business_Continuity">Role of Technology in Globalization with reference to Business Continuity</a></div><div class="wp-workCard_item"><span>Global Journal of Enterprise Information …</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">... Page 70 Harmeet Malhotra Tripti Lamba IITM Jankpuri triptigautam@yahoo.co.in Page 2. Global J...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">... Page 70 Harmeet Malhotra Tripti Lamba IITM Jankpuri <a href="mailto:triptigautam@yahoo.co.in" rel="nofollow">triptigautam@yahoo.co.in</a> Page 2. 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