A Many-Objective Optimization Based Intelligent Intrusion Detection Algorithm for Enhancing Security of Vehicular Networks in 6G

With accelerated ensemble of the Internet of Things technology and automotive industry, vehicular network has been established as powerful tools. However, it is a significant challenge for dynamic and heterogeneous vehicular network to meet high requirements of the sixth-generation (6G) network such...

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Vydané v:	IEEE transactions on vehicular technology Ročník 70; číslo 6; s. 5234 - 5243
Hlavní autori:	Zhang, Zhixia, Cao, Yang, Cui, Zhihua, Zhang, Wensheng, Chen, Jinjun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.06.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	6G mobile communication Algorithms Automobile industry Controller area network Controller area network (CAN) Data models Encryption Internet of Things Intrusion detection Intrusion detection systems Machine learning machine learning (ML) many-objective optimization Multiple objective analysis Network reliability Optimization Protocols Security Vehicles vehicular networks security
ISSN:	0018-9545, 1939-9359
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