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Functionality-preserving Adversarial Machine Learning For Robust Classification In Cybersecurity And Intrusion Detection Domains: A Survey

2022-02-07

Abstract excerpt

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 learnt model is unaware of so-called adversarial examples that may intentionally result in mis-classification and th...

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Literature Corpus work
8ed414e3-f39b-5f05-8008-1428d53e2764
DOI
10.20944/preprints202202.0099.v1
Open publication

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