Pairwise clusters optimization and cluster most significant feature methods for anomaly-based network intrusion detection system (POC2MSF) / Gervais Hatungimana

Anomaly-based Intrusion Detection System (IDS) uses known baseline to detect patterns which have deviated from normal behaviour. If the baseline is faulty, the IDS performance degrades. Most of researches in IDS which use k-centroids-based clustering methods like K-means, K-medoids, Fuzzy, Hierarchi...

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Bibliographic Details
Main Author: Hatungimana, Gervais
Format: Article
Language:English
Published: Universiti Teknologi MARA Press (Penerbit UiTM) 2018
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Online Access:http://ir.uitm.edu.my/id/eprint/43252/1/43252.pdf
http://ir.uitm.edu.my/id/eprint/43252/
https://mjoc.uitm.edu.my
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Institution: Universiti Teknologi Mara
Language: English

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