An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture

标题
An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture
作者
关键词
Internet of Medical Things (IoMT), Healthcare, Machine learning, Deep neural networks, Intrusion Detection System (IDS), Principal Component Analysis (PCA), Grey-Wolf Optimization algorithm
出版物
COMPUTER COMMUNICATIONS
Volume 160, Issue -, Pages 139-149
出版商
Elsevier BV
发表日期
2020-06-04
DOI
10.1016/j.comcom.2020.05.048

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