Reliable and Fair Trustworthiness Evaluation Protocol for Platoon Service Recommendation System

CHENG Hongyuan; LIU Yining; ZHOU Fei; TAN Zhiyuan; ZHANG Xianchao

doi:10.23919/cje.2023.00.012

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Hongyuan CHENG, Yining LIU, Fei ZHOU, et al., “Reliable and Fair Trustworthiness Evaluation Protocol for Platoon Service Recommendation System,” Chinese Journal of Electronics, vol. x, no. x, pp. 1–14, xxxx doi: 10.23919/cje.2023.00.012

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Hongyuan CHENG, Yining LIU, Fei ZHOU, et al., “Reliable and Fair Trustworthiness Evaluation Protocol for Platoon Service Recommendation System,” Chinese Journal of Electronics, vol. x, no. x, pp. 1–14, xxxx doi: 10.23919/cje.2023.00.012

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Reliable and Fair Trustworthiness Evaluation Protocol for Platoon Service Recommendation System

doi: 10.23919/cje.2023.00.012

1.
School of Computer Science & Engineering, LinYi University, Linyi 273300
2.
School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004
3.
Guangxi Key Laboratory of Digital Infrastructure, Guangxi 530023
4.
School of Computing, Engineering & the Built Environment, Edinburgh Napier University, Edinburgh, EH10 5DT, UK
5.
College of Information Science and Engineering, Key Laboratory of Medical Electronics and Digital Health of Zhejiang Province, Engineering Research Center of Intelligent Human Health Situation Awareness of Zhejiang Province, Jiaxing University, Jiaxing 314001

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Author Bio:
Hongyuan CHENG received the B.E. degree from the School of Information Science and Technology, Taishan University, Tai An, China, in 2018, and the Ph.D. degree from the School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China, in 2023. She is currently an Associate Professor with the School of Computer Science & Engineering, LinYi University, Linyi, China, and her research primarily focuses on fog computing, reputation evaluation, and privacy preservation in vehicular networks. (Email: hycheng649@163.com)

Yining LIU received the B.S. degree in Applied Mathematics from Information Engineering University, Zhengzhou, China, in 1995, the M.S. degree in Computer Software and Theory from the Huazhong University of Science and Technology, Wuhan, China, in 2003, and the Ph.D. degree in mathematics from Hubei University, Wuhan, China, in 2007. He is currently a Professor with the Guilin University of Electronic Technology, Guilin, China. His research interests include data privacy, security and privacy in VANETs, image security, and machine learning. (Email: lyn7311@sina.com)

Fei ZHOU received the B.E. degree in Geology from Guilin Institute of Technology, Guilin, China, in 1995 and on the job graduate students in Geodesy and Surveying Engineering from Guilin Institute of Technology in 2004. He is currently the director of Guangxi Zhuang Autonomous Region Big Data Research Institute and the director of Guangxi Key Laboratory of Digital Infrastructure. His research interests include big data, cloud computing, networks, computers, and network security. (Email: syszhoufei@163.com)

Zhiyuan TAN is an Associate Professor at Edinburgh Napier University in the School of Computing, Engineering and the Built Environment. He holds a Ph.D. degree from the University of Technology Sydney, Australia, which he received in 2014. He was also a Postdoctoral Researcher with the University of Twente in the Netherlands between 2014 and 2016. His research primarily focuses on Cybersecurity, Machine Learning, and Cognitive Computation. Dr Tan is an Associate Editor of the IEEE Transactions on Reliability and the Journal of Ambient Intelligence and Humanized Computing. He is also an Academic Editor of Security and Communication Networks. Dr Tan is a Senior Member of the IEEE and a Member of the ACM. (Email: Z.Tan@napier.ac.uk)

Xianchao ZHANG received the Ph.D. degree in Systems Engineering from Beihang University, Beijing, China in 2013. From 2013 to 2015, he was a Postdoctoral Fellow with Peking University, China. From 2018 to 2022, he was a Postdoctoral Fellow with Southeast University, China. From 2015 to 2021, he was a senior engineer with the China Academy of Electronic and Information Technology. He is currently a Professor with the Key Laboratory of Medical Electronics and Digital Health of Zhejiang Province and the Engineering Research Center of Intelligent Human Health Situation Awareness of Zhejiang Province, Jiaxing University, China. His research interests include artificial network, privacy computing. (Email: zhangxianchao@zjxu.edu.cn)
Corresponding author: Email: lyn7311@sina.com
Received Date: 2023-03-22
Accepted Date: 2024-03-20

Available Online: 2024-05-31

Abstract

Abstract

Aiming at the problems of the communication inefficiency and high energy consumption in vehicular networks, the platoon service recommendation systems (PSRS) are presented. Many schemes for evaluating the reputation of platoon head vehicles have been proposed to obtain and recommend reliable platoon head vehicles. These trustworthiness evaluation protocols for PSRS fail to achieve both reliability and fairness. We first provide a reliable trustworthiness evaluation method to ensure that the reputation level of platoon head vehicle can be calculated by cloud service provider (CSP) with the help of key agreement mechanism and truth discovery technology. The semi-trusted entity CSP may maliciously tamper with the reputation level of the platoon head vehicle. We also provide a reputation level confirmation method to ensure the fairness of trustworthiness evaluation. Formal security proof and security analysis are provided to show that our trustworthiness evaluation protocol can achieve the goals of privacy protection, reliability, fairness and resistance to several security attacks. Experiments demonstrate that this protocol can save execution time and achieve reliable and fair trustworthiness evaluation for PSRS.
- Reliability,
- fairness,
- privacy protection,
- trustworthiness evaluation,
- vehicle platoon

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References(30)

References

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