An Intelligent Agent Based Intrusion Detection System Using Fuzzy Rough Set Based Outlier Detection

N. Jaisankar; Sannasi Ganapathy; P. Yogesh; A. Kannan; S. Krishna Anand

doi:10.1007/978-3-642-25507-6_13

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An Intelligent Agent Based Intrusion Detection System Using Fuzzy Rough Set Based Outlier Detection

N. Jaisankar Sannasi Ganapathy P. Yogesh A. Kannan S. Krishna Anand

Year: 2012 Studies in computational intelligence Pages: 147-153 Publisher: Springer Nature

DOI: 10.1007/978-3-642-25507-6_13

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Keywords:

Intrusion detection system Rough set Constant false alarm rate Data mining Anomaly detection Computer science Support vector machine Artificial intelligence Outlier Fuzzy logic Pattern recognition (psychology) Fuzzy set Feature selection Feature (linguistics) Set (abstract data type)

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Rough Sets and Fuzzy Logic

Physical Sciences → Computer Science → Computational Theory and Mathematics

Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

An Intelligent Agent Based Intrusion Detection System Using Fuzzy Rough Set Based Outlier Detection

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