Meta‐analysis and systematic review for anomaly network intrusion detection systems: Detection methods, dataset, validation methodology, and challenges

• Main Authors: Al‐Bander, Baidaa, Maseer, Ziadoon K., Kadhim, Qusay Kanaan, Yusof, Robiah, Saif, Abdu
• Format: Article
• Language: English
• Published: John Wiley and Sons Inc 2024
• Online Access: http://eprints.utem.edu.my/id/eprint/28389/2/0076312072024174321902.pdf; http://eprints.utem.edu.my/id/eprint/28389/; https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/ntw2.12128; https://doi.org/10.1049/ntw2.12128

Intrusion detection systems built on artificial intelligence (AI) are presented as latent mechanisms for actively detecting fresh attacks over a complex network. The authors used a qualitative method for analysing and evaluating the performance of network intrusion detection system (NIDS) in a syst...