Design of multiple-level hybrid classifier for intrusion detection system using Bayesian clustering and decision trees

Design of multiple-level hybrid classifier for intrusion detection system using Bayesian clustering and decision trees

10.1016/j.patrec.2008.01.008

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Bibliographic Details
Main Authors: Xiang, C., Yong, P.C., Meng, L.S.
Other Authors: ELECTRICAL & COMPUTER ENGINEERING
Format: Article
Published: 2014
Subjects:
Bayesian clustering
Decision tree
False-negative
False-positive
Intrusion detection system (IDS)
Online Access:http://scholarbank.nus.edu.sg/handle/10635/50893
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Institution: National University of Singapore

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