Aug. 14, 2023, 1:10 a.m. | Ziadoon K. Maseer, Robiah Yusof, Baidaa Al-Bander, Abdu Saif, Qusay Kanaan Kadhim

cs.CR updates on arXiv.org arxiv.org

Intrusion detection systems (IDSs) built on artificial intelligence (AI) are
presented as latent mechanisms for actively detecting fresh attacks over a
complex network. Although review papers are used the systematic review or
simple methods to analyse and criticize the anomaly NIDS works, the current
review uses a traditional way as a quantitative description to find current
gaps by synthesizing and summarizing the data comparison without considering
algorithms performance. This paper presents a systematic and meta-analysis
study of AI for network …

analysis artificial artificial intelligence attacks challenges detection idss intelligence intrusion intrusion detection meta network papers review simple systems validation

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