Defending network intrusion detection systems against adversarial evasion attacks

Marek Pawlicki; Michał Choraś; Rafał Kozik

doi:10.1016/j.future.2020.04.013

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JOURNAL ARTICLE

Defending network intrusion detection systems against adversarial evasion attacks

Marek Pawlicki Michał Choraś Rafał Kozik

Year: 2020 Journal: Future Generation Computer Systems Vol: 110 Pages: 148-154 Publisher: Elsevier BV

DOI: 10.1016/j.future.2020.04.013

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Keywords:

Adversarial system Computer science Intrusion detection system Evasion (ethics) Artificial intelligence Computer security Context (archaeology) Machine learning Adversarial machine learning Artificial neural network Focus (optics)

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Topics

Adversarial Robustness in Machine Learning

Physical Sciences → Computer Science → Artificial Intelligence

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing

Defending network intrusion detection systems against adversarial evasion attacks

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Citation History

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