arXiv:2610.19766v1 Announce Type: new Abstract: Although Artificial Intelligence (AI)-based Intrusion Detection Systems (IDSs) are increasingly deployed in operational networks, their dependence on large-scale training data introduces a critical vulnerability to stealthy poisoning attacks.
Analyzing and Mitigating Poisoning Attacks on Flow-Based Intrusion Detection
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