[1]李一冰,牛科栋,曹仰杰,等.基于DAG 区块链的车联网分区域信息共享方法[J].郑州大学学报(工学版),2026,47(XX):1-8.[doi:10.13705/j.issn.1671-6833.2026.03.002]
　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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基于DAG 区块链的车联网分区域信息共享方法()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
47
期数:
2026年XX
页码:
1-8
栏目:
出版日期:
2026-09-10

文章信息/Info

Title:
Subregional Information Sharing Method of Internet of Vehicles Based on DAG Blockchain
作者:
李一冰1 ;  牛科栋2 ;  曹仰杰2 ;  李颉1; 3 ;  庄岩2
1. 郑州大学 计算机与人工智能学院, 河南 郑州 450001;2. 郑州大学 网络空间安全学院,河南 郑州 450002;3. 上海交通大学 计算机科学与工程系,上海 200030
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
关键词:
区块链; 信息共享; 有向无环图; 车联网; 分区域
Keywords:
blockchain;  information sharing;  directed acyclic graph;  internet of vehicles;  region-based
分类号:
TU528.1
DOI:
10.13705/j.issn.1671-6833.2026.03.002
文献标志码:
A
摘要:
针对传统区块链应用于车联网扩展性差、吞吐量低的问题，提出了一种基于轻量级有向无环图（DAG）区块链的分区域信息共享方法。首先，在此方法中充分考虑了车联网信息共享过程中的区域化特征，将车联网划分为多个子区域来及时完成车辆之间的信息共享，并且利用边缘RSU节点来帮助车辆进行快速的跨区域认证。其次，将区域性和时间敏感性与传统DAG的马尔科夫蒙特卡洛（MCMC）方法相融合，设计了新的基于信息共享相关性的提示选择算法（RTB-TSA）。另外，使用了一种基于积分值的tip发送速率控制方法来抵御寄生链攻击，确保DAG系统的安全性。最后，通过仿真实验的结果表明，在效率方面，与传统DAG区块链系统对比，本文提出方法的tip选择速率提高了约5%，收敛轮数降低了约30%；与DDB-TSA方法对比，本文所提出方法的tip选择速率提高了约1%，收敛轮数降低了约7%；在系统稳定性和安全性方面，本文所提出方法的DAG账本可以保持收敛性，且可有效抑制由恶意节点发起的寄生链攻击。
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.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2025-06-03;修订日期:2025-07-26
基金项目:国家自然科学基金项目(62302458) ;河南省青年科学基金资助项目( 242300421474) ;河南省科技攻关资助项目(222102310547)
作者简介:李一冰(1995— ) ,女,河南驻马店人,郑州大学博士研究生,主要从事区块链研究,E-mail:ybing_li@ 163. com。
通讯作者: 曹仰杰(1976— ) ,男,河南濮阳人,郑州大学教授,博士,博士生导师,主要从事区块链,机器智能与人机交互、大数据智能处理、云计算与高性能计算研究，E-mail:caoyj@zzu.edu.cn。
更新日期/Last Update: 2026-01-14