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Meta-Analysis and Systematic Review for Anomaly Network Intrusion Detection Systems: Detection Methods, Dataset, Validation Methodology, and Challenges. (arXiv:2308.02805v2 [cs.CR] UPDATED)
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