Enhanced AI-based anomaly detection method in the intrusion detection system (IDS) / Kayvan Atefi
Intrusion detection systems (IDS) are vital to cyber security, particularly with the presence of various networked computer infrastructures. An efficient IDS uses computational methods as techniques of machine learning (ML) to enhance the rates of detection to obtain the lowest false positive rate,...
| 第一著者: | Atefi, Kayvan |
|---|---|
| フォーマット: | 学位論文 |
| 言語: | 英語 |
| 出版事項: |
2019
|
| オンライン・アクセス: | https://ir.uitm.edu.my/id/eprint/83493/1/83493.pdf |
| Abstract | Abstract here |
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