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{"work":{"id":4689237,"created_at":"2013-10-05T21:57:18.250-07:00","from_world_paper_id":null,"updated_at":"2025-01-11T07:56:43.597-08:00","_data":{"ai_abstract":"This paper addresses the escalating issue of spam in business communications, which has grown from affecting 10% of emails in early 2001 to over 50% today. It highlights the significant financial impacts of spam on businesses, emphasizing the need for effective filtering solutions, particularly for widely used mail servers like Exchange. The document advocates for SPAMfighter's community-based approach to spam filtering, which claims to deliver superior accuracy and a better return on investment compared to traditional filtering methods."},"document_type":"teaching_document","pre_hit_view_count_baseline":0,"quality":"spam","language":"en","title":"PROTECTING EXCHANGE ENVIRONMENTS FROM SPAM","broadcastable":false,"draft":null,"has_indexable_attachment":true,"indexable":true}}["work"]; window.loswp.workCoauthors = [2363014]; window.loswp.locale = "en"; window.loswp.countryCode = "SG"; window.loswp.cwvAbTestBucket = ""; window.loswp.designVariant = "ds_vanilla"; window.loswp.fullPageMobileSutdModalVariant = "control"; window.loswp.useOptimizedScribd4genScript = false; window.loginModal = {}; window.loginModal.appleClientId = 'edu.academia.applesignon'; window.userInChina = "false";</script><script defer="" src="https://accounts.google.com/gsi/client"></script><div class="ds-loswp-container"><div class="ds-work-card--grid-container"><div class="ds-work-card--container js-loswp-work-card"><div class="ds-work-card--cover"><div class="ds-work-cover--wrapper"><div class="ds-work-cover--container"><button class="ds-work-cover--clickable js-swp-download-button" data-signup-modal="{"location":"swp-splash-paper-cover","attachmentId":32022134,"attachmentType":"pdf"}"><img alt="First page of “PROTECTING EXCHANGE ENVIRONMENTS FROM SPAM”" class="ds-work-cover--cover-thumbnail" src="https://0.academia-photos.com/attachment_thumbnails/32022134/mini_magick20190425-10816-dhaj3e.png?1556246176" /><img alt="PDF Icon" class="ds-work-cover--file-icon" src="//a.academia-assets.com/images/single_work_splash/adobe_icon.svg" /><div class="ds-work-cover--hover-container"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span><p>Download Free PDF</p></div><div class="ds-work-cover--ribbon-container">Download Free PDF</div><div class="ds-work-cover--ribbon-triangle"></div></button></div></div></div><div class="ds-work-card--work-information"><h1 class="ds-work-card--work-title">PROTECTING EXCHANGE ENVIRONMENTS FROM SPAM</h1><div class="ds-work-card--work-authors ds-work-card--detail"><a class="ds-work-card--author js-wsj-grid-card-author ds2-5-body-md ds2-5-body-link" data-author-id="2363014" href="https://uni-mysore.academia.edu/ALIMOULAEINEJAD"><img alt="Profile image of ALI MOULAEI NEJAD" class="ds-work-card--author-avatar" src="https://0.academia-photos.com/2363014/744683/18272526/s65_ali.moulaei_nejad.jpg" />ALI MOULAEI NEJAD</a></div><div class="ds-work-card--detail"><div class="ds-work-card--work-metadata"><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">visibility</span><p class="ds2-5-body-sm" id="work-metadata-view-count">…</p></div><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">description</span><p class="ds2-5-body-sm">9 pages</p></div><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">link</span><p class="ds2-5-body-sm">1 file</p></div></div><script>(async () => { const workId = 4689237; const worksViewsPath = "/v0/works/views?subdomain_param=api&work_ids%5B%5D=4689237"; const getWorkViews = async (workId) => { const response = await fetch(worksViewsPath); if (!response.ok) { throw new Error('Failed to load work views'); } const data = await response.json(); return data.views[workId]; }; // Get the view count for the work - we send this immediately rather than waiting for // the DOM to load, so it can be available as soon as possible (but without holding up // the backend or other resource requests, because it's a bit expensive and not critical). const viewCount = await getWorkViews(workId); const updateViewCount = (viewCount) => { try { const viewCountNumber = parseInt(viewCount, 10); if (viewCountNumber === 0) { // Remove the whole views element if there are zero views. document.getElementById('work-metadata-view-count')?.parentNode?.remove(); return; } const commaizedViewCount = viewCountNumber.toLocaleString(); const viewCountBody = document.getElementById('work-metadata-view-count'); if (!viewCountBody) { throw new Error('Failed to find work views element'); } viewCountBody.textContent = `${commaizedViewCount} views`; } catch (error) { // Remove the whole views element if there was some issue parsing. document.getElementById('work-metadata-view-count')?.parentNode?.remove(); throw new Error(`Failed to parse view count: ${viewCount}`, error); } }; // If the DOM is still loading, wait for it to be ready before updating the view count. if (document.readyState === "loading") { document.addEventListener('DOMContentLoaded', () => { updateViewCount(viewCount); }); // Otherwise, just update it immediately. } else { updateViewCount(viewCount); } })();</script></div><p class="ds-work-card--detail ds2-5-body-md">AI-generated Abstract</p><p class="ds-work-card--work-abstract ds-work-card--detail ds2-5-body-md">This paper addresses the escalating issue of spam in business communications, which has grown from affecting 10% of emails in early 2001 to over 50% today. It highlights the significant financial impacts of spam on businesses, emphasizing the need for effective filtering solutions, particularly for widely used mail servers like Exchange. The document advocates for SPAMfighter's community-based approach to spam filtering, which claims to deliver superior accuracy and a better return on investment compared to traditional filtering methods.</p><div class="ds-work-card--button-container"><button class="ds2-5-button js-swp-download-button" data-signup-modal="{"location":"continue-reading-button--work-card","attachmentId":32022134,"attachmentType":"pdf","workUrl":"https://www.academia.edu/4689237/PROTECTING_EXCHANGE_ENVIRONMENTS_FROM_SPAM"}">See full PDF</button><button class="ds2-5-button ds2-5-button--secondary js-swp-download-button" data-signup-modal="{"location":"download-pdf-button--work-card","attachmentId":32022134,"attachmentType":"pdf","workUrl":"https://www.academia.edu/4689237/PROTECTING_EXCHANGE_ENVIRONMENTS_FROM_SPAM"}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span>Download PDF</button></div><div class="ds-signup-banner-trigger-container"><div class="ds-signup-banner-trigger ds-signup-banner-trigger-control"></div></div><div class="ds-signup-banner ds-signup-banner-control"><div id="ds-signup-banner-close-button"><button class="ds2-5-button ds2-5-button--secondary ds2-5-button--inverse"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">close</span></button></div><div class="ds-signup-banner-ctas"><img src="//a.academia-assets.com/images/academia-logo-capital-white.svg" /><h4 class="ds2-5-heading-serif-sm">Sign up for access to the world's latest research</h4><button class="ds2-5-button ds2-5-button--inverse ds2-5-button--full-width js-swp-download-button" data-signup-modal="{"location":"signup-banner"}">Sign up for free<span class="material-symbols-outlined" style="font-size: 20px" translate="no">arrow_forward</span></button></div><div class="ds-signup-banner-divider"></div><div class="ds-signup-banner-reasons"><div class="ds-signup-banner-reasons-item"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">check</span><span>Get notified about relevant papers</span></div><div class="ds-signup-banner-reasons-item"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">check</span><span>Save papers to use in your research</span></div><div class="ds-signup-banner-reasons-item"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">check</span><span>Join the discussion with peers</span></div><div class="ds-signup-banner-reasons-item"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">check</span><span>Track your impact</span></div></div></div><script>(() => { // Set up signup banner show/hide behavior: // 1. 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Current Internet technologies further accelerated the distribution of spam. Spam-reduction techniques have developed rapidly over the last few years, as spam volumes have increased. We believe that no one anti-spam solution is the “right” answer, and that the best approach is a multifaceted one, combining various forms of filtering with infrastructure changes, financial changes, legal recourse, and more, to provide a stronger barrier to spam than can be achieved with one solution alone. Spam Guru addresses the part of this multi-faceted approach that can be handled by technology on the recipient’s side, using plug-in tokenizes and parsers, plug-in classification modules, and machine-learning techniques to achieve high hit rates and low false-positive rates. Effective controls need to be deployed to countermeasure the ever growing spam problem. Machine learning provides better protective mechanisms that are able to control spam. This paper summarizes most common techniques used for anti-spam filtering by analyzing the e-mail content and also looks into machine learning algorithms such as Naïve Bayesian, support vector machine and neural network that have been adopted to detect and control spam. Each machine learning has its own strengths and limitations as such appropriate preprocessing need to be carefully considered to increase the effectiveness of any given machine learning. Key Words: Anti-spam filters, text categorization, electronic mail (E-mail), Spam Bayes, training email filters, content filtering, false negatives, user level spam filtering machine learning,</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"IRJET-Overview of Anti-spam filtering Techniques","attachmentId":51879974,"attachmentType":"pdf","work_url":"https://www.academia.edu/31538519/IRJET_Overview_of_Anti_spam_filtering_Techniques","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/31538519/IRJET_Overview_of_Anti_spam_filtering_Techniques"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="1" data-entity-id="10118502" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/10118502/Factors_Involved_in_Estimating_Cost_of_Email_Spam">Factors Involved in Estimating Cost of Email Spam</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="24678692" href="https://usim.academia.edu/FaridaRidzuan">Farida Ridzuan</a></div><p class="ds-related-work--metadata ds2-5-body-xs">2010</p><p class="ds-related-work--abstract ds2-5-body-sm">This paper analyses existing research work to identify all possible factors involved in estimating cost of spam. Main motivation of this paper is to provide unbiased spam costs estimation. For that, we first study the email spam lifecycle and identify all possible stakeholders. We then categorise cost and study the impact on each stakeholder. This initial study will form the backbone of the real time spam cost calculating engine that we are developing for Australia.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Factors Involved in Estimating Cost of Email Spam","attachmentId":47521300,"attachmentType":"pdf","work_url":"https://www.academia.edu/10118502/Factors_Involved_in_Estimating_Cost_of_Email_Spam","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/10118502/Factors_Involved_in_Estimating_Cost_of_Email_Spam"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="2" data-entity-id="1421760" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/1421760/Content_based_analysis_a_way_to_classify_cracks_in_image_paintings">Content-based analysis: a way to classify cracks in image paintings</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="1000015" href="https://ksrce.academia.edu/JcaKsrce">Jca Ksrce</a></div><p class="ds-related-work--abstract ds2-5-body-sm">Unsolicited commercial email or "spam" flood mailboxes, causing frustration, wasting bandwidth, and exposing minors to unsuitable content. This paper uses intelligent gatekeepers to interact with spam messages and system referenced in spam. The goal of this paper is to consume spam senders' resources by engaging the spammer in appropriate gatekeepers. There are four gatekeepers have been implemented: Phishing gatekeeper, medicine gatekeeper, bank scam gatekeeper, and web form gatekeeper. This technique provides better results and it cannot deal with the image spam.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Content-based analysis: a way to classify cracks in image paintings","attachmentId":30862771,"attachmentType":"pdf","work_url":"https://www.academia.edu/1421760/Content_based_analysis_a_way_to_classify_cracks_in_image_paintings","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/1421760/Content_based_analysis_a_way_to_classify_cracks_in_image_paintings"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="3" data-entity-id="3079187" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/3079187/Channel_email_Evaluating_social_communication_efficiency">Channel email Evaluating social communication efficiency</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="343546" href="https://massey.academia.edu/BrianWhitworth">Brian Whitworth</a></div><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Channel email Evaluating social communication efficiency","attachmentId":31151859,"attachmentType":"pdf","work_url":"https://www.academia.edu/3079187/Channel_email_Evaluating_social_communication_efficiency","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/3079187/Channel_email_Evaluating_social_communication_efficiency"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="4" data-entity-id="456204" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/456204/Channel_E_Mail_A_Sociotechnical_Response_to_Spam">Channel E-Mail: A Sociotechnical Response to Spam</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="343546" href="https://massey.academia.edu/BrianWhitworth">Brian Whitworth</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Computer, 2009</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Channel E-Mail: A Sociotechnical Response to Spam","attachmentId":3443689,"attachmentType":"pdf","work_url":"https://www.academia.edu/456204/Channel_E_Mail_A_Sociotechnical_Response_to_Spam","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/456204/Channel_E_Mail_A_Sociotechnical_Response_to_Spam"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="5" data-entity-id="8353817" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/8353817/Critical_Analysis_of_Spam_Prevention_Techniques">Critical Analysis of Spam Prevention Techniques</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="14834640" href="https://westernsydney.academia.edu/SimiBajaj">Simi Bajaj</a></div><p class="ds-related-work--abstract ds2-5-body-sm">E-mail spam has remained a scourge and menacing nuisance for users, internet and network service operators and providers, in spite of the anti-spam techniques available; and spammers are relentlessly circumventing these anti-spam techniques embedded or installed in form of software products on both client and server sides of both fixed and mobile devices to their advantage. This continuous evasion degrades the capabilities of these antispam techniques as none of them provides a comprehensive reliable solution to the problem posed by spam and spammers. Major problem for instance arises when these anti-spam techniques misjudge or misclassify legitimate emails as spam (false positive); or fail to deliver or block spam on the SMTP server (false negative); and the spam passes-on to the receiver, and yet this server from where it originates does not notice or even have an auto alert service to indicate that the spam it was designed to prevent has slipped and moved on to the receiver's SMTP server; and the receiver's SMTP server still fail to stop the spam from reaching user's device and with no auto alert mechanism to inform itself of this inability; thus causing a staggering cost in loss of time, effort and finance. This paper takes a comparative literature overview of some of these anti-spam techniques, especially the filtering technological endorsements designed to prevent spam, their merits and demerits to entrench their capability enhancements, as well as evaluative analytical recommendations that will be subject to further research.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Critical Analysis of Spam Prevention Techniques","attachmentId":34754993,"attachmentType":"pdf","work_url":"https://www.academia.edu/8353817/Critical_Analysis_of_Spam_Prevention_Techniques","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/8353817/Critical_Analysis_of_Spam_Prevention_Techniques"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="6" data-entity-id="11276584" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/11276584/Spam_Filter_Analysis">Spam Filter Analysis</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="27224737" href="https://independent.academia.edu/Fl%C3%A1vioGarcia">Flávio Garcia</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Security and Protection in Information Processing Systems, 2004</p><p class="ds-related-work--abstract ds2-5-body-sm">Unsolicited bulk email (aka. spam) is a major problem on the Internet. To counter spam, several techniques, ranging from spam filters to mail protocol extensions like hashcash, have been proposed. In this paper we investigate the effectiveness of several spam filtering techniques and technologies. Our analysis was performed by simulating email traffic under different conditions. We show that genetic algorithm based spam filters perform best at server level and na -"ve Bayesian filters are the most appropriate for filtering at user level.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Spam Filter Analysis","attachmentId":46775623,"attachmentType":"pdf","work_url":"https://www.academia.edu/11276584/Spam_Filter_Analysis","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/11276584/Spam_Filter_Analysis"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="7" data-entity-id="22911620" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/22911620/A_Study_on_Spam_Filtering_Techniques">A Study on Spam Filtering Techniques</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="44602215" href="https://universityofcalicut.academia.edu/ChippyThomas">Chippy Thomas</a></div><p class="ds-related-work--abstract ds2-5-body-sm">Spam is one of the major problems of the today's Internet, bringing financial damage to companies and annoying individual users. Spam messages are almost always commercial or fraudulent messages, and are quite often sent with false return address information. Among the approaches developed to stop spam, filtering is an important and popular one. A spam filter is a program that is used to detect unsolicited and unwanted email and prevent those messages from getting to a user's inbox. Like other types of filtering programs, a spam filter looks for certain criteria on which it bases judgments. Researchers have proposed different types of spam filters and this paper provides a review of them.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"A Study on Spam Filtering Techniques","attachmentId":43450281,"attachmentType":"doc","work_url":"https://www.academia.edu/22911620/A_Study_on_Spam_Filtering_Techniques","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/22911620/A_Study_on_Spam_Filtering_Techniques"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="8" data-entity-id="2969048" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/2969048/Unsolicited_Commercial_Communication_The_integrated_scenario">Unsolicited Commercial Communication: The integrated scenario</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="3468835" href="https://mdx.academia.edu/EMoustakas">Evangelos Moustakas</a></div><p class="ds-related-work--metadata ds2-5-body-xs">academy.gr</p><p class="ds-related-work--abstract ds2-5-body-sm">The Internet introduced the concept of email -a means of communication that arguably provides the communication base for industry in the developed world. Advertisers have not been slow to take up the opportunities offered by the Internet and the World Wide Web -in many cases subsidising website presence. Email is an efficient method of soliciting customers and selling products. As more consumers obtain email addresses, the efficiency of using email as a marketing tool will grow. The growth of email marketing (known as spam) is now becoming a real problem to users, causing not only financial costs, but also costs in terms of time and system integrity. These costs have been recognised and addressed by legislation in some countries. However, legislation has had little impact (Moustakas and Duquenoy, 2004), in part due to the territorial nature of jurisdiction.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Unsolicited Commercial Communication: The integrated scenario","attachmentId":50526442,"attachmentType":"doc","work_url":"https://www.academia.edu/2969048/Unsolicited_Commercial_Communication_The_integrated_scenario","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/2969048/Unsolicited_Commercial_Communication_The_integrated_scenario"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="9" data-entity-id="18495189" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/18495189/Fighting_Spam_on_the_Sender_Side_A_Lightweight_Approach">Fighting Spam on the Sender Side: A Lightweight Approach</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="38517896" href="https://independent.academia.edu/SveinKnapskog">Svein Knapskog</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Lecture Notes in Computer Science, 2010</p><p class="ds-related-work--abstract ds2-5-body-sm">Spam comprises approximately 90 to 95 percent of all e-mail traffic on the Internet nowadays, and it is a problem far from being solved. The losses caused by spam are estimated to reach up to $87 billion yearly. When fighting spam, most of the proposals focus on the receiver-side and are usually resource-intensive in terms of processing requirements. In this paper we present an approach to address these shortcomings: we propose to i) filter outgoing e-mail on the sender side and (ii) use lightweight techniques to check whether a message is spam or not. Moreover, we have evaluated the accuracy of these techniques in detecting spam on the sender side with two different data sets, obtained at a Dutch hosting provider. The results obtained with this approach suggest we can significantly reduce the amount of spam on the Internet by performing simple checks at the sender-side.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Fighting Spam on the Sender Side: A Lightweight Approach","attachmentId":40094442,"attachmentType":"pdf","work_url":"https://www.academia.edu/18495189/Fighting_Spam_on_the_Sender_Side_A_Lightweight_Approach","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/18495189/Fighting_Spam_on_the_Sender_Side_A_Lightweight_Approach"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div></div></div><div class="ds-sticky-ctas--wrapper js-loswp-sticky-ctas hidden"><div class="ds-sticky-ctas--grid-container"><div class="ds-sticky-ctas--container"><button class="ds2-5-button js-swp-download-button" data-signup-modal="{"location":"continue-reading-button--sticky-ctas","attachmentId":32022134,"attachmentType":"pdf","workUrl":null}">See full PDF</button><button class="ds2-5-button ds2-5-button--secondary js-swp-download-button" data-signup-modal="{"location":"download-pdf-button--sticky-ctas","attachmentId":32022134,"attachmentType":"pdf","workUrl":null}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span>Download PDF</button></div></div></div><div class="ds-below-fold--grid-container"><div class="ds-work--container js-loswp-embedded-document"><div class="attachment_preview" data-attachment="Attachment_32022134" style="display: none"><div class="js-scribd-document-container"><div class="scribd--document-loading js-scribd-document-loader" style="display: block;"><img alt="Loading..." src="//a.academia-assets.com/images/loaders/paper-load.gif" /><p>Loading Preview</p></div></div><div style="text-align: center;"><div class="scribd--no-preview-alert js-preview-unavailable"><p>Sorry, preview is currently unavailable. 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