Building an efficient intrusion detection system based on feature selection and ensemble classifier

Yuyang Zhou; Guang Cheng; Shanqing Jiang; Mian Dai

doi:10.1016/j.comnet.2020.107247

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JOURNAL ARTICLE

Building an efficient intrusion detection system based on feature selection and ensemble classifier

Yuyang Zhou Guang Cheng Shanqing Jiang Mian Dai

Year: 2020 Journal: Computer Networks Vol: 174 Pages: 107247-107247 Publisher: Elsevier BV

DOI: 10.1016/j.comnet.2020.107247

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Keywords:

Computer science Random forest Intrusion detection system Ensemble learning Feature selection Artificial intelligence Machine learning Classifier (UML) Data mining Dimensionality reduction Heuristic Majority rule Pattern recognition (psychology)

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69.17

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162

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Topics

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing

Building an efficient intrusion detection system based on feature selection and ensemble classifier

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Citation History

Topics

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