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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Bibliographic Details
Main Authors: Giovanni Apruzzese, Mauro Andreolini, Mirco Marchetti, Vincenzo Giuseppe Colacino, Giacomo Russo
Format: Artigo
Language:Inglês
Published: MDPI AG 2020-04-01
Series:Symmetry
Subjects:
adversarial attacks
network intrusion detection
evasion attacks
cyber security
machine learning
Online Access:https://www.mdpi.com/2073-8994/12/4/653
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