Subregional Information Sharing Method of Internet of Vehicles Based on DAG Blockchain

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Subregional Information Sharing Method of Internet of Vehicles Based on DAG Blockchain

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[1]LI Yibing,NIU Kedong,CAO Yangjie,et al.Subregional Information Sharing Method of Internet of Vehicles Based on DAG Blockchain[J].Journal of Zhengzhou University (Engineering Science),2026,47(XX):1-8.[doi:10.13705/j.issn.1671-6833.2026.03.002]

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 47 Number of periods: 2026 XX Page number: 1-8 Column: Public date: 2026-09-10

Title:: Subregional Information Sharing Method of Internet of Vehicles Based on DAG Blockchain

Author(s):: LI Yibing¹ ; NIU Kedong² ; CAO Yangjie² ; LI Jie¹; 3 ; ZHUANG Yan²; 1. School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou 45000 1, China; 2. School of Cyber Science and Engineering, Zhengzhou Universi ty, Zhengzhou 450002, China; 3. Department of Computer Science and Engineering, ShanghaiJiaotong University, Shanghai 200030, China

Keywords:: blockchain; information sharing; directed acyclic graph; internet of vehicles; region-based

CLC:: TU528.1

DOI:: 10.13705/j.issn.1671-6833.2026.03.002

Abstract:: This paper proposes a region-based information sharing method based on a lightweight Directed Acyclic Graph (DAG) blockchain to address the issues of poor scalability and low throughput in traditional blockchain applications for vehicular networks. First, the method takes into account the regional characteristics of information sharing in vehicular networks, dividing the network into multiple sub-regions for timely information sharing between vehicles. Edge RSU nodes are used to help vehicles quickly authenticate across regions. Secondly, the method integrates regional and time-sensitive features with the traditional DAG’s Markov Chain Monte Carlo (MCMC) approach and designs a new Tip Selection Algorithm based on information sharing relevance (RTB-TSA). Additionally, a tip sending rate control method based on integral values is used to defend against parasitic chain attacks, ensuring the security of the DAG system. Finally, simulation results show that, in terms of efficiency, compared with traditional DAG blockchain systems, the proposed method improves the tip selection rate by approximately 5% and reduces the convergence rounds by about 30%. Compared with the DDB-TSA method, the proposed method improves the tip selection rate by about 1% and reduces the convergence rounds by about 7%. In terms of system stability and security, the proposed DAG ledger can maintain convergence and effectively suppress parasitic chain attacks initiated by malicious nodes.

References:: [1] YADAV S, SINGH K, BEZZATEEV S. Enhancing security using trusted blockchain method for Internet of vehicle [C]//2024 International Conference on Automation and Computation (AUTOCOM). Dehradun, India. IEEE, 2024: 512-518.
[2] ALLADI T, CHAMOLA V, SAHU N, et al. A comprehensive survey on the applications of blockchain for securing vehicular networks[J]. IEEE Communications Surveys & Tutorials, 2022, 24(2): 1212-1239.
[3] RAWAT A, DAZA V, SIGNORINI M. Offline scaling of IoT devices in IOTA blockchain[J]. Sensors, 2022, 22(4): 1411.
[4] CHAI H Y, LENG S P, WU F, et al. Secure and efficient blockchain-based knowledge sharing for intelligent connected vehicles[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(9): 14620-14631.
[5] POKHREL S R, CHOI J. Improving TCP performance over WiFi for Internet of vehicles: a federated learning approach[J]. IEEE Transactions on Vehicular Technology, 2020, 69(6): 6798-6802.
[6] CHAI H Y, LENG S P, WU F. Secure knowledge sharing in Internet of vehicles: a DAG-enabled blockchain framework[C]//ICC 2021 - IEEE International Conference on Communications. Montreal, QC, Canada. IEEE, 2021: 1-6.
[7] 李永强, 刘伟伟. 基于区块链的车联网安全信息共享机制设计[J]. 郑州大学学报(工学版), 2022, 43(1): 103-110.
LI Y Q, LIU Z W. Blockchain-based secure data sharing mechanism design in the vehicular networks[J]. Journal of Zhengzhou University (Engineering Science), 2022, 43(1): 103-110.
[8] ZHANG X D, LI R, HOU W H, et al. V-lattice: a lightweight blockchain architecture based on DAG-lattice structure for vehicular ad hoc networks[J]. Security and Communication Networks, 2021, 2021(1): 9942632.
[9] ZHANG X D, LI R, ZHAO H. A parallel consensus mechanism using PBFT based on DAG-lattice structure in the Internet of vehicles[J]. IEEE Internet of Things Journal, 2023, 10(6): 5418-5433.
[10] YANG W H, DAI X H, XIAO J, et al. LDV: a lightweight DAG-based blockchain for vehicular social networks[J]. IEEE Transactions on Vehicular Technology, 2020, 69(6): 5749-5759.
[11] FERAUDO A, ROMANDINI N, MAZZOCCA C, et al. DIVA: a DID-based reputation system for secure transmission in VANETs using IOTA[J]. Computer Networks, 2024, 244: 110332.
[12] LI Y J, TAO X F, ZHANG X F, et al. A DAG-based reputation mechanism for preventing peer disclosure in SIoV[J]. IEEE Internet of Things Journal, 2022, 9(23): 24095-24106.
[13] LI N P, GUO Y C, CHEN Y S, et al. A partitioned DAG distributed ledger with local consistency for vehicular reputation management[J]. Wireless Communications and Mobile Computing, 2022, 2022: 6833535.
[14] CAO M R, CAO B, HONG W, et al. DAG-FL: direct acyclic graph-based blockchain empowers on-device federated learning[C]//ICC 2021-IEEE International Conference on Communications. Montreal, QC, Canada. IEEE, 2021: 1-6.
[15] DONG Z X, WU H Y, LI Z Y, et al. Trustworthy VANET: hierarchical DAG-based blockchain solution with proof of reputation consensus algorithm[C]//2023 IEEE International Conference on Blockchain (Blockchain). Danzhou, China. IEEE, 2023: 127-132.
[16] FU Y, WANG S P, ZHANG Q, et al. Game model of optimal quality experience strategy for Internet of vehicles bandwidth service based on DAG blockchain[J]. IEEE Transactions on Vehicular Technology, 2023, 72(7): 8898-8913.
[17] LI F S, LIN R Q, WANG J, et al. A fast method to defend against SSDF attacks in the CIoV network: based on DAG blockchain and evolutionary game[J]. IEEE Communications Letters, 2023, 27(12): 3171-3175.
[18] YANG W W, SHI L, LIANG H, et al. Trusted mobile edge computing: DAG blockchain-aided trust management and resource allocation[J]. IEEE Transactions on Wireless Communications, 2024, 23(5): 5006-5018.
[19] GU C, CUI X D, LI M, et al. An efficient and privacy-preserving information reporting framework for traffic monitoring in vehicular networks[J]. IEEE Transactions on Vehicular Technology, 2023, 72(6): 7900-7913.
[20] DU G X, CAO Y J, LI J, et al. Secure information sharing approach for Internet of vehicles based on DAG-enabled blockchain[J]. Electronics, 2023, 12(8): 1780.
[21] LI Y B, CAO Y J, ZHUANG Y, et al. Blockchain-enabled trust management with location privacy preservation in vehicular ad hoc networks[J]. IEEE Internet of Things Journal, 2024, 11(14): 24659-24671.

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Last Update: 2026-01-14