Evaluating the impact of generative adversarial models on the performance of anomaly intrusion detection

With the increasing rate and types of cyber attacks against information systems and communication infrastructures, many tools are needed to detect and mitigate against such attacks, for example, Intrusion Detection Systems (IDSs). Unfortunately, traditional Signature-based IDSs (SIDSs) perform poorl...

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Bibliographic Details

Main Authors:	Mohammad Arafah, Iain Phillips, Asma Adnane
Format:	Default Article
Published:	2023
Subjects:	computer network security data mining feature selection learning (artificial intelligence) pattern classification
Online Access:	https://hdl.handle.net/2134/25012010.v1
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