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Navigating the Latent Manifold: Proactive Concept Drift Adaptation for Resilient NIDS
Network intrusion detection systems (NIDS) are critical for cybersecurity, safeguarding services and data from potential attacks. However, existing AI-based NIDS often assume static data distributions and fail to handle concept drift, leading to degraded performance and increased false positives in
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