<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Network-Intrusion-Detection on CuraSec</title><link>https://curasec.metacog.co.kr/tags/network-intrusion-detection/</link><description>Recent content in Network-Intrusion-Detection on CuraSec</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 14 Sep 2026 18:03:45 +0000</lastBuildDate><atom:link href="https://curasec.metacog.co.kr/tags/network-intrusion-detection/index.xml" rel="self" type="application/rss+xml"/><item><title>GIDS-Eval: Graph-Based NIDS Benchmarks Show Major Evaluation Gaps</title><link>https://curasec.metacog.co.kr/insights/2026-09-14-a-first-principles-evaluation-of-graph-based-network-intrusi/</link><pubDate>Mon, 14 Sep 2026 18:03:45 +0000</pubDate><guid>https://curasec.metacog.co.kr/insights/2026-09-14-a-first-principles-evaluation-of-graph-based-network-intrusi/</guid><description>&lt;ul>
&lt;li>&lt;strong>Engineer — Learn:&lt;/strong> Research reveals that graph-based NIDS benchmarks are largely artifacts of preprocessing and windowing choices, not detector quality — relevant if evaluating or procuring NIDS solutions, but no running system to change today.&lt;/li>
&lt;li>&lt;strong>SOC/IR — Learn:&lt;/strong> The finding that two crafted edges achieve full evasion against multiple detector-dataset pairs is a meaningful signal about coverage gaps in graph-based NIDS; useful context when assessing your network detection stack&amp;rsquo;s real-world reliability, though no detection tuning is actionable from this paper alone.&lt;/li>
&lt;li>&lt;strong>Leader — Skip&lt;/strong>&lt;/li>
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