AppCon: Mitigating Evasion Attacks to ML Cyber Detectors

Adversarial attacks represent a critical issue that prevents the reliable integration of machine learning methods into cyber defense systems. Past work has shown that even proficient detectors are highly affected just by small perturbations to malicious samples, and that existing countermeasures are...

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Main Authors: Giovanni Apruzzese, Mauro Andreolini, Mirco Marchetti, Vincenzo Giuseppe Colacino, Giacomo Russo
格式: Artigo
語言:Inglês
出版: MDPI AG 2020-04-01
叢編:Symmetry
主題:
adversarial attacks
network intrusion detection
evasion attacks
cyber security
machine learning
在線閱讀:https://www.mdpi.com/2073-8994/12/4/653
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