Remora whale optimization-based hybrid deep learning for network intrusion detection using CNN features

作者：

Highlights：

• Remora Whale Optimization Based-Hybrid deep model is used for detecting intrusions.

• RWO is designed by the combination of ROA and WOA.

• In the proposed approach features are selected by holoentropy process.

• The developed approach achieves superior performance with testing accuracy of 0.93.

摘要

•Remora Whale Optimization Based-Hybrid deep model is used for detecting intrusions.•RWO is designed by the combination of ROA and WOA.•In the proposed approach features are selected by holoentropy process.•The developed approach achieves superior performance with testing accuracy of 0.93.

论文关键词：Security,Intrusion detection,Deep learning,Remora optimization algorithm,Whale optimization Algorithm

论文评审过程：Received 21 April 2022, Revised 6 August 2022, Accepted 6 August 2022, Available online 11 August 2022, Version of Record 17 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118476