A network intrusion detection system based on a Hidden Naïve Bayes multiclass classifier

Levent Koç; Thomas A. Mazzuchi; Shahram Sarkani

doi:10.1016/j.eswa.2012.07.009

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JOURNAL ARTICLE

A network intrusion detection system based on a Hidden Naïve Bayes multiclass classifier

Levent Koç Thomas A. Mazzuchi Shahram Sarkani

Year: 2012 Journal: Expert Systems with Applications Vol: 39 (18)Pages: 13492-13500 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2012.07.009

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Keywords:

Naive Bayes classifier Computer science Intrusion detection system Data mining Artificial intelligence Bayes' theorem Machine learning Support vector machine Conditional independence Network security Anomaly-based intrusion detection system Constant false alarm rate Pattern recognition (psychology) Bayesian probability Computer security

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Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Internet Traffic Analysis and Secure E-voting

Physical Sciences → Computer Science → Artificial Intelligence

A network intrusion detection system based on a Hidden Naïve Bayes multiclass classifier

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