Adversarial examples for network intrusion detection systems

Machine learning-based network intrusion detection systems have demonstrated state-of-the-art accuracy in flagging malicious traffic. However, machine learning has been shown to be vulnerable to adversarial examples, particularly in domains such as image recognition. In many threat models, the adver...

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Veröffentlicht in:	Journal of computer security 2022-01, Vol.30 (5), p.727-752
Hauptverfasser:	Sheatsley, Ryan, Papernot, Nicolas, Weisman, Michael J., Verma, Gunjan, McDaniel, Patrick
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Constraints Domains Histograms Intrusion detection systems Machine learning Object recognition Perturbation Robustness Service introduction Sketches
Online-Zugang:	Volltext
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