Feature Subset Selection Using Binary Gravitational Search Algorithm for Intrusion Detection System

Amir Behjat; Aida Mustapha; Hossein Nezamabadi–pour; Md. Nasir Sulaiman; Norwati Mustapha

doi:10.1007/978-3-642-36543-0_39

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Feature Subset Selection Using Binary Gravitational Search Algorithm for Intrusion Detection System

Amir Behjat Aida Mustapha Hossein Nezamabadi–pour Md. Nasir Sulaiman Norwati Mustapha

Year: 2013 Lecture notes in computer science Pages: 377-386 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-36543-0_39

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Keywords:

Intrusion detection system Computer science Feature selection Perceptron Binary number Artificial intelligence Algorithm Feature (linguistics) Selection (genetic algorithm) Set (abstract data type) Binary classification Data mining Pattern recognition (psychology) Machine learning Artificial neural network Support vector machine Mathematics

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Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Feature Subset Selection Using Binary Gravitational Search Algorithm for Intrusion Detection System

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