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Search results for: Zev Winkelman
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for: Zev Winkelman</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Digital Forensics Compute Cluster: A High Speed Distributed Computing Capability for Digital Forensics </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Daniel%20Gonzales">Daniel Gonzales</a>, <a href="https://publications.waset.org/abstracts/search?q=Zev%20Winkelman"> Zev Winkelman</a>, <a href="https://publications.waset.org/abstracts/search?q=Trung%20Tran"> Trung Tran</a>, <a href="https://publications.waset.org/abstracts/search?q=Ricardo%20Sanchez"> Ricardo Sanchez</a>, <a href="https://publications.waset.org/abstracts/search?q=Dulani%20Woods"> Dulani Woods</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20Hollywood"> John Hollywood</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We have developed a distributed computing capability, Digital Forensics Compute Cluster (DFORC2) to speed up the ingestion and processing of digital evidence that is resident on computer hard drives. DFORC2 parallelizes evidence ingestion and file processing steps. It can be run on a standalone computer cluster or in the Amazon Web Services (AWS) cloud. When running in a virtualized computing environment, its cluster resources can be dynamically scaled up or down using Kubernetes. DFORC2 is an open source project that uses Autopsy, Apache Spark and Kafka, and other open source software packages. It extends the proven open source digital forensics capabilities of Autopsy to compute clusters and cloud architectures, so digital forensics tasks can be accomplished efficiently by a scalable array of cluster compute nodes. In this paper, we describe DFORC2 and compare it with a standalone version of Autopsy when both are used to process evidence from hard drives of different sizes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=digital%20forensics" title="digital forensics">digital forensics</a>, <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title=" cloud computing"> cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=cyber%20security" title=" cyber security"> cyber security</a>, <a href="https://publications.waset.org/abstracts/search?q=spark" title=" spark"> spark</a>, <a href="https://publications.waset.org/abstracts/search?q=Kubernetes" title=" Kubernetes"> Kubernetes</a>, <a href="https://publications.waset.org/abstracts/search?q=Kafka" title=" Kafka"> Kafka</a> </p> <a href="https://publications.waset.org/abstracts/73858/digital-forensics-compute-cluster-a-high-speed-distributed-computing-capability-for-digital-forensics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73858.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">394</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> 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