EBDM: Ensemble binary detection models for multi-class wireless intrusion detection based on deep neural network

Chinyang Henry Tseng; Ya-Ting Chang

doi:10.1016/j.cose.2023.103419

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EBDM: Ensemble binary detection models for multi-class wireless intrusion detection based on deep neural network

Chinyang Henry Tseng Ya-Ting Chang

Year: 2023 Journal: Computers & Security Vol: 133 Pages: 103419-103419 Publisher: Elsevier BV

DOI: 10.1016/j.cose.2023.103419

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Keywords:

Computer science Feature selection Random forest Artificial intelligence Intrusion detection system Pattern recognition (psychology) Support vector machine Artificial neural network Feature (linguistics) Data mining Data set Binary number Binary classification Autoencoder Binary tree Algorithm

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Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Internet Traffic Analysis and Secure E-voting

Physical Sciences → Computer Science → Artificial Intelligence

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

EBDM: Ensemble binary detection models for multi-class wireless intrusion detection based on deep neural network

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