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    <title>The Center for Secure and Dependable Software(University of Idaho)</title>
    <link>https://e-sygoing.link/link/5742209-the-center-for-secure-and-dependable-softwareuniversity-of-i</link>
    <description>Hummer is a distributed component for any Intrusion Detection System ;  Magpie is a hierarchical network of lightweight, mobile, and adaptive tools designed to both investigate and guard against intrusions.</description>
    <pubDate>Sat, 15 Nov 2025 19:43:12 -0500</pubDate>
    <guid isPermaLink="false">https://e-sygoing.link/go/5742209</guid>
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    <title>MInnesota Intrusion Detection System (MINDS)</title>
    <link>https://e-sygoing.link/link/5742213-minnesota-intrusion-detection-system-minds</link>
    <description>Research project focused on the development of high performance data mining algorithms and tools that will provide support required to analyze the massive data sets generated by various processes that monitor computing and information systems.</description>
    <pubDate>Fri, 13 Jun 2025 15:21:05 -0400</pubDate>
    <guid isPermaLink="false">https://e-sygoing.link/go/5742213</guid>
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    <title>Recent Advances in Intrusion Detection Symposium 2004</title>
    <link>https://e-sygoing.link/link/5742222-recent-advances-in-intrusion-detection-symposium-2004</link>
    <description>International Symposium on Recent Advances in Intrusion Detection.  Held in conjunction with ESORICS 2004, September 15-17, 2004.  The RAID International Symposium series is intended to advance the field of intrusion detection by promoting the exchange of ideas on a broad range of topics, bringing together leading experts from academia, government, and industry to discuss state-of-the-art intrusion detection technologies and issues from research and commercial perspectives.</description>
    <pubDate>Thu, 19 Dec 2024 00:41:03 -0500</pubDate>
    <guid isPermaLink="false">https://e-sygoing.link/go/5742222</guid>
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    <title>Intrusion detection projects at UC Davis</title>
    <link>https://e-sygoing.link/link/5742211-intrusion-detection-projects-at-uc-davis</link>
    <description>Anomaly Detection in Database Systems, Common Intrusion Detection Framework,  Intrusion Detection and Isolation Protocol / IDIP, Intrusion Detection for Large Networks, Misuse Detection and Workshop for Intrusion Detection and Response Data Sharing.</description>
    <pubDate>Tue, 03 Sep 2024 10:17:24 -0400</pubDate>
    <guid isPermaLink="false">https://e-sygoing.link/go/5742211</guid>
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    <title>Security Incident Fusion Tools (SIFT)</title>
    <link>https://e-sygoing.link/link/5742224-security-incident-fusion-tools-sift</link>
    <description>Security Incident Fusion Tools (SIFT) is an integrated framework for evaluating the security of an entire computer network on a single screen.  The project attempts to address the need to discover undetected security incidents.</description>
    <pubDate>Mon, 19 Aug 2024 23:15:24 -0400</pubDate>
    <guid isPermaLink="false">https://e-sygoing.link/go/5742224</guid>
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    <title>COAST Intrusion Detection Pages</title>
    <link>https://e-sygoing.link/link/5742219-coast-intrusion-detection-pages</link>
    <description>Perdue University&#039;s clearinghouse for intrusion detection information.  Includes overviews, policy, detection methods, and tools.</description>
    <pubDate>Fri, 09 Aug 2024 11:44:58 -0400</pubDate>
    <guid isPermaLink="false">https://e-sygoing.link/go/5742219</guid>
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    <title>Intrusion Detection in Columbia University</title>
    <link>https://e-sygoing.link/link/5742206-intrusion-detection-in-columbia-university</link>
    <description>This project is a data-mining based approach to detecting intruders in computer systems. The project  approaches the intrusion detection problem from a data-mining perspective. Large quantities of data are collected from the system and analyzed to build  models of normal behavior and intrusion behavior. These models are evaluated on data collected in real time to detect intruders.</description>
    <pubDate>Sun, 28 Jul 2024 00:44:17 -0400</pubDate>
    <guid isPermaLink="false">https://e-sygoing.link/go/5742206</guid>
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    <title>Intrusion Detection Analysis: A Case Study</title>
    <link>https://e-sygoing.link/link/5742225-intrusion-detection-analysis-a-case-study</link>
    <description>A case study/research paper providing detailed analysis of several anomalous network events to illustrate the techniques for examining alerts and logs generated by a network intrusion detection system.</description>
    <pubDate>Thu, 18 Jul 2024 21:51:05 -0400</pubDate>
    <guid isPermaLink="false">https://e-sygoing.link/go/5742225</guid>
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