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

文献类型：期刊论文

作者Zhang, Zhixia1,2; Cao, Yang3; Cui, Zhihua4; Zhang, Wensheng5; Chen, Jinjun6
刊名IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
出版日期2021-06-01
卷号70期号:6页码:5234-5243
关键词Intrusion detection Security 6G mobile communication Data models Protocols Optimization Encryption Controller area network (CAN) intrusion detection machine learning (ML) many-objective optimization vehicular networks security
ISSN号0018-9545
DOI10.1109/TVT.2021.3057074
通讯作者Cui, Zhihua(cuizhihua@tyust.edu.cn)
英文摘要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 as high reliability and high security. To address this challenge, we design a novel weight-based ensemble machine learning algorithm (WBELA) to identify abnormal messages of vehicular Controller Area Network (CAN) bus network. Then, we establish a model based on many-objective optimization for intrusion detection of CAN bus network. To support this model, a many-objective optimization algorithm based on balance convergence and diversity (MaOEA-BCD) is designed. Open-source CAN bus message data sets and tamper attack scenarios are used to evaluate the effectiveness of proposed algorithm for different ID data frames. Experimental results revealed that proposed methods significantly enhance precision, reduce the false positive rate and have better performance than other methods so as to enhance security of vehicular networks in 6G.
资助项目National Key Research and Development Program of China[2018YFC1604000] ; National Natural Science Foundation of China[61 806 138] ; National Natural Science Foundation of China[61 772 478] ; National Natural Science Foundation of China[U1636220] ; National Natural Science Foundation of China[61961160707] ; National Natural Science Foundation of China[61 976 212] ; Key R&D program of Shanxi Province (HighTechnology)[201903D121119] ; Key R&D program of Shanxi Province (International Cooperation)[201903D421048] ; Postgraduate Education Innovation Project of Shanxi Province[2020SY437] ; Natural Science Foundation of Shanxi Province[201801D121127] ; Australian Research Council (ARC)[DP190101893] ; Australian Research Council (ARC)[DP170100136] ; Australian Research Council (ARC)[LP180100758]
WOS研究方向Engineering ; Telecommunications ; Transportation
语种英语
WOS记录号WOS:000671544000005
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Key R&D program of Shanxi Province (HighTechnology) ; Key R&D program of Shanxi Province (International Cooperation) ; Postgraduate Education Innovation Project of Shanxi Province ; Natural Science Foundation of Shanxi Province ; Australian Research Council (ARC)
源URL[http://ir.ia.ac.cn/handle/173211/45258]  
专题精密感知与控制研究中心_人工智能与机器学习
通讯作者Cui, Zhihua
作者单位1.Taiyuan Univ Sci & Technol, Sch Comp Sci & Technol, Sch Elect Informat Engn, Taiyuan 030024, Shanxi, Peoples R China
2.Taiyuan Univ Sci & Technol, Shanxi Key Lab Adv Control & Equipment Intelligen, Taiyuan 030024, Shanxi, Peoples R China
3.Beijing Wuzi Univ, Sch Informat, Beijing 101149, Peoples R China
4.Taiyuan Univ Sci & Technol, Sch Comp Sci & Technol, Taiyuan 030024, Shanxi, Peoples R China
5.Chinese Acad Sci, State Key Lab Intelligent Control & Management Co, Inst Automat, Beijing 100190, Peoples R China
6.Swinburne Univ Technol, Melbourne, Vic 3000, Australia
推荐引用方式
GB/T 7714		 Zhang, Zhixia,Cao, Yang,Cui, Zhihua,et al. A Many-Objective Optimization Based Intelligent Intrusion Detection Algorithm for Enhancing Security of Vehicular Networks in 6G[J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,2021,70(6):5234-5243.
APA Zhang, Zhixia,Cao, Yang,Cui, Zhihua,Zhang, Wensheng,&Chen, Jinjun.(2021).A Many-Objective Optimization Based Intelligent Intrusion Detection Algorithm for Enhancing Security of Vehicular Networks in 6G.IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,70(6),5234-5243.
MLA Zhang, Zhixia,et al."A Many-Objective Optimization Based Intelligent Intrusion Detection Algorithm for Enhancing Security of Vehicular Networks in 6G".IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 70.6(2021):5234-5243.

入库方式： OAI收割

来源：自动化研究所

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