Functionality-Preserving Adversarial Machine Learning for Robust Classification in Cybersecurity and Intrusion Detection Domains: A Survey

Functionality-Preserving Adversarial Machine Learning for Robust Classification in Cybersecurity and Intrusion Detection Domains: A Survey

Machine learning has become widely adopted as a strategy for dealing with a variety of cybersecurity issues, ranging from insider threat detection to intrusion and malware detection. However, by their very nature, machine learning systems can introduce vulnerabilities to a security defence whereby a...

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Bibliographic Details
Main Authors: Andrew McCarthy, Essam Ghadafi, Panagiotis Andriotis, Phil Legg
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Journal of Cybersecurity and Privacy
Subjects:
cybersecurity
adversarial machine learning
machine learning
intrusion detection
functionality-preservation
Online Access:https://www.mdpi.com/2624-800X/2/1/10

Internet

https://www.mdpi.com/2624-800X/2/1/10

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