Robustness of ML-Enhanced IDS to Stealthy Adversaries

Intrusion Detection Systems (IDS) enhanced with Machine Learning (ML) have demonstrated the capacity to efficiently build a prototype of "normal" cyber behaviors in order to detect cyber threats' activity with greater accuracy than traditional rule-based IDS. Because these are largely...

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Veröffentlicht in:	arXiv.org 2021-04
Hauptverfasser:	Wong, Vance, Emanuello, John
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomalies Cybersecurity Machine learning Robustness Security management
Online-Zugang:	Volltext
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