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Exploiting blockchain for dependable services in zero-trust vehicular networks |
Min HAO1, Beihai TAN2(), Siming WANG1, Rong YU1, Ryan Wen LIU3, Lisu YU4 |
1. School of Automation, Guangdong University of Technology, Guangzhou 510006, China 2. School of Integrated Circuits, Guangdong University of Technology, Guangzhou 510006, China 3. School of Navigation, Wuhan University of Technology, Wuhan 430063, China 4. School of Information Engineering, Nanchang University, Nanchang 330031, China |
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Abstract The sixth-generation (6G) wireless communication system is envisioned be cable of providing highly dependable services by integrating with native reliable and trustworthy functionalities. Zero-trust vehicular networks is one of the typical scenarios for 6G dependable services. Under the technical framework of vehicle-and-roadside collaboration, more and more on-board devices and roadside infrastructures will communicate for information exchange. The reliability and security of the vehicle-and-roadside collaboration will directly affect the transportation safety. Considering a zero-trust vehicular environment, to prevent malicious vehicles from uploading false or invalid information, we propose a malicious vehicle identity disclosure approach based on the Shamir secret sharing scheme. Meanwhile, a two-layer consortium blockchain architecture and smart contracts are designed to protect the identity and privacy of benign vehicles as well as the security of their private data. After that, in order to improve the efficiency of vehicle identity disclosure, we present an inspection policy based on zero-sum game theory and a roadside unit incentive mechanism jointly using contract theory and subjective logic model. We verify the performance of the entire zero-trust solution through extensive simulation experiments. On the premise of protecting the vehicle privacy, our solution is demonstrated to significantly improve the reliability and security of 6G vehicular networks.
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Keywords
sixth-generation (6G)
zero-trust
block-chain
vehicular networks
privacy preservation
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Corresponding Author(s):
Beihai TAN
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Just Accepted Date: 02 February 2023
Issue Date: 30 March 2023
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1 |
F, Tang Y, Kawamoto N, Kato J Liu . Future intelligent and secure vehicular network toward 6g: machine-learning approaches. Proceedings of the IEEE, 2020, 108( 2): 292–307
|
2 |
X, Han D, Tian Z, Sheng X, Duan J, Zhou W, Hao K, Long M, Chen V C M Leung . Reliability-aware joint optimization for cooperative vehicular communication and computing. IEEE Transactions on Intelligent Transportation Systems, 2021, 22( 8): 5437–5446
|
3 |
H, Zhou W, Xu J, Chen W Wang . Evolutionary V2X technologies toward the internet of vehicles: challenges and opportunities. Proceedings of the IEEE, 2020, 108( 2): 308–323
|
4 |
X, Duan H, Jiang D, Tian T, Zou J, Zhou Y Cao . V2I based environment perception for autonomous vehicles at intersections. China Communications, 2021, 18( 7): 1–12
|
5 |
J, Song P W, Harn K, Sakai M T, Sun W S Ku . An RFID zero-knowledge authentication protocol based on quadratic residues. IEEE Internet of Things Journal, 2022, 9( 14): 12813–12824
|
6 |
X, Huang P, Li R, Yu Y, Wu K, Xie S Xie . FedParking: A federated learning based parking space estimation with parked vehicle assisted edge computing. IEEE Transactions on Vehicular Technology, 2021, 70( 9): 9355–9368
|
7 |
Y, Bello A R, Hussein M, Ulema J Koilpillai . On sustained zero trust conceptualization security for mobile core networks in 5G and beyond. IEEE Transactions on Network and Service Management, 2022, 19( 2): 1876–1889
|
8 |
M, Hao D, Ye R, Yu J, Wang J Liao . Blockchain empowered trustworthy access scheme for 6G zero-trust vehicular networks. Journal of Electronics & Information Technology, 2022, 44( 9): 3004–3013
|
9 |
A A, Rasheed R N, Mahapatra F G Hamza-Lup . Adaptive group-based zero knowledge proof-authentication protocol in vehicular ad hoc networks. IEEE Transactions on Intelligent Transportation Systems, 2020, 21( 2): 867–881
|
10 |
A A, Rasheed R N, Mahapatra C, Varol K Narashimha . Exploiting zero knowledge proof and blockchain towards the enforcement of anonymity, data integrity and privacy (ADIP) on IoT. IEEE Transactions on Emerging Topics in Computing, 2022, 10( 3): 1476–1491
|
11 |
J, Lu Y, Aliaosha X, Liu J, Dou H Jiang . Research on distributed energy metering data collection and security mechanism based on blockchain technology. Electrical Measurement & Instrumentation, 2021, 58( 6): 13–20
|
12 |
T, Wang J, Guo T, Ming X Yang . Application of block chain technology in life cycle asset management. Electrical Measurement & Instrumentation, 2021, 58( 6): 21–25
|
13 |
W, Lin X, Zhang Q, Cui Z Zhang . Blockchain based unified authentication with zero-knowledge proof in heterogeneous MEC. In: Proceedings of 2021 IEEE International Conference on Communications Workshops (ICC Workshops). 2021, 1−6
|
14 |
X, Feng Q, Shi Q, Xie L Wang . P2BA: A privacy-preserving protocol with batch authentication against semi-trusted RSUs in vehicular ad hoc networks. IEEE Transactions on Information Forensics and Security, 2021, 16: 3888–3899
|
15 |
Z, Xia L, Zeng K, Gu X, Li W Jia . Conditional identity privacy-preserving authentication scheme based on cooperation of multiple fog servers under fog computing-based IoVs. ACM Transactions on Internet Technology, 2022, 22( 4): 107
|
16 |
M, Hao D, Ye S, Wang B, Tan R Yu . URLLC resource slicing and scheduling for trustworthy 6G vehicular services: A federated reinforcement learning approach. Physical Communication, 2021, 49: 101470
|
17 |
S W, Rose O, Borchert S, Mitchell S Connelly . Zero trust architecture. Gaithersburg: National Institute of Standards and Technology, 2020
|
18 |
S, Teerakanok T, Uehara A Inomata . Migrating to zero trust architecture: reviews and challenges. Security and Communication Networks, 2021, 2021: 9947347
|
19 |
S W, Shah N F, Syed A, Shaghaghi A, Anwar Z, Baig R Doss . LCDA: Lightweight continuous device-todevice authentication for a zero trust architecture (ZTA). Computers & Security, 2021, 108: 102351
|
20 |
Y, Liu X, Hao W, Ren R, Xiong T, Zhu K K R, Choo G Min . A blockchain-based decentralized, fair and authenticated information sharing scheme in zero trust internet-of-things. IEEE Transactions on Computers, 2023, 72( 2): 501–512
|
21 |
A Shamir . How to share a secret. Communications of the ACM, 1979, 22( 11): 612–613
|
22 |
Stengel B Von . Recursive inspection games. Mathematics of Operations Research, 2016, 41( 3): 935–952
|
23 |
C, Huang W, Wang D, Liu R, Lu X Shen . Blockchain-assisted personalized car insurance with privacy preservation and fraud resistance. IEEE Transactions on Vehicular Technology, 2022, doi:
|
24 |
J, Kang Z, Xiong D, Niyato D, Ye D I, Kim J Zhao . Toward secure blockchain-enabled internet of vehicles: optimizing consensus management using reputation and contract theory. IEEE Transactions on Vehicular Technology, 2019, 68( 3): 2906–2920
|
25 |
X, Huang R, Yu D, Ye L, Shu S Xie . Efficient workload allocation and user-centric utility maximization for task scheduling in collaborative vehicular edge computing. IEEE Transactions on Vehicular Technology, 2021, 70( 4): 3773–3787
|
26 |
J, Liang Z, Qin S, Xiao L, Ou X Lin . Efficient and secure decision tree classification for cloud-assisted online diagnosis services. IEEE Transactions on Dependable and Secure Computing, 2021, 18( 4): 1632–1644
|
27 |
M, Bayat M, Pournaghi M, Rahimi M Barmshoory . NERA: a new and efficient RSU based authentication scheme for VANETs. Wireless Networks, 2020, 26( 5): 3083–3098
|
28 |
K, Zhang Y, Mao S, Leng Q, Zhao L, Li X, Peng L, Pan S, Maharjan Y Zhang . Energy-efficient offloading for mobile edge computing in 5G heterogeneous networks. IEEE Access, 2016, 4: 5896–5907
|
29 |
X, Liu W, Wang D, Niyato N, Zhao P Wang . Evolutionary game for mining pool selection in blockchain networks. IEEE Wireless Communications Letters, 2018, 7( 5): 760–763
|
30 |
Z, Zhou H, Liao X, Zhao B, Ai M Guizani . Reliable task offloading for vehicular fog computing under information asymmetry and information uncertainty. IEEE Transactions on Vehicular Technology, 2019, 68( 9): 8322–8335
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