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LIAS: A Lightweight Incentive Authentication Scheme for Forensic Services in IoV
Zhang, Mingyue1; Zhou, Junlong1,2; Cong, Peijin1; Zhang, Gongxuan1; Zhuo, Cheng3; Hu, Shiyan4
2022-04-15
发表期刊IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
ISSN1545-5955
页码16
摘要Internet of Vehicles (IoV) has become an indispensable data sensing and processing platform in Internet of Things (IoT) for intelligent transportation. The mounted cameras on the vehicles along with the fixed roadside cameras are utilized to provide pictorial services for IoV users and law enforcement agencies. For such forensic services, ensuring the security and privacy of vehicles while guaranteeing the efficiency of data transmission among vehicles is important. In this paper, we propose a lightweight incentive authentication scheme (LIAS) for forensic services in IoV. LIAS is developed on a three-tier architecture containing cloud layer, fog layer, and user layer. LIAS uses pairing-free certificateless signcryption, pseudonym update mechanism, and incentive mechanism to realize a secure anonymous authentication efficiently. We conduct correctness and security analysis, as well as performance analysis and evaluation to validate the high security and efficiency of LIAS. Experimental results reveal that, the communication and computation overheads as well as the message delay and packet loss of LIAS are much lower than those of state-of-the-art techniques.
关键词Forensics Authentication Security Privacy Computer architecture Cameras Message authentication Anonymous authentication forensic service lightweight incentive Internet of Vehicles security
DOI10.1109/TASE.2022.3165174
收录类别SCI
语种英语
资助项目National Key Research and Development Program of China[2018YFE0126300] ; National Natural Science Foundation of China[62172224] ; National Natural Science Foundation of China[61802185] ; China Postdoctoral Science Foundation[BX2021128] ; China Postdoctoral Science Foundation[2021T140327] ; China Postdoctoral Science Foundation[2020M680068] ; Postdoctoral Science Foundation of Jiangsu Province[2021K066A] ; Open Research Fund of the State Key Laboratory of Computer Architecture ; Chinese Academy of Sciences (CAS)[CARCHA202105] ; Future Network Scientific Research Fund Project[FNSRFP-2021-YB-6]
WOS研究方向Automation & Control Systems
WOS类目Automation & Control Systems
WOS记录号WOS:000785776400001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
被引频次:14[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/18881
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zhou, Junlong
作者单位1.Nanjing Univ Sci & Technol, Sch Comp Sci & Engn, Nanjing 210094, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100190, Peoples R China
3.Zhejiang Univ, Dept Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China
4.Univ Southampton, Sch Elect & Comp Sci, Southampton SO17 1BJ, Hants, England
推荐引用方式
GB/T 7714
Zhang, Mingyue,Zhou, Junlong,Cong, Peijin,et al. LIAS: A Lightweight Incentive Authentication Scheme for Forensic Services in IoV[J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING,2022:16.
APA Zhang, Mingyue,Zhou, Junlong,Cong, Peijin,Zhang, Gongxuan,Zhuo, Cheng,&Hu, Shiyan.(2022).LIAS: A Lightweight Incentive Authentication Scheme for Forensic Services in IoV.IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING,16.
MLA Zhang, Mingyue,et al."LIAS: A Lightweight Incentive Authentication Scheme for Forensic Services in IoV".IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2022):16.
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