Mitigation of Black-Box Attacks on Intrusion Detection Systems-Based ML

Mitigation of Black-Box Attacks on Intrusion Detection Systems-Based ML

Intrusion detection systems (IDS) are a very vital part of network security, as they can be used to protect the network from illegal intrusions and communications. To detect malicious network traffic, several IDS based on machine learning (ML) methods have been developed in the literature. Machine l...

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Bibliographic Details
Main Authors:	Shahad Alahmed, Qutaiba Alasad, Maytham M. Hammood, Jiann-Shiun Yuan, Mohammed Alawad
Format:	Article
Language:	English
Published:	MDPI AG 2022-07-01
Series:	Computers
Subjects:	intrusion detection systems machine learning random forest generative adversarial networks recursive features elimination principal component analysis
Online Access:	https://www.mdpi.com/2073-431X/11/7/115

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