1.华中科技大学网络空间安全学院,湖北 武汉 430074
2.香港理工大学电子计算学系,香港 999077
3.北京交通大学电子信息工程学院,北京100044
[ "王樊(1999‒ ),男,华中科技大学网络空间安全学院硕士生,主要研究方向为区块链、车联网。" ]
[ "代玥玥(1990‒ ),女,华中科技大学网络空间安全学院副教授,主要研究方向为数字孪生、边缘智能、区块链、联邦学习。" ]
[ "杨慧炅(1999‒ ),女,香港理工大学电子计算学系硕士生,主要研究方向为区块链安全、车联网。" ]
[ "王秀华(1989‒ ),女,华中科技大学网络空间安全学院副研究员,主要研究方向为区块链安全、人工智能安全。" ]
[ "卢云龙(1991‒ ),男,北京交通大学电子信息工程学院教授,主要研究方向为宽带移动通信系统与专用移动通信、人工智能、新一代电子信息技术。" ]
收稿:2025-02-07,
修回:2025-03-11,
纸质出版:2025-12-10
移动端阅览
王樊,代玥玥,杨慧炅等.车联网交互信息控制传输与安全共享方案[J].物联网学报,2025,09(04):15-28.
WANG Fan,DAI Yueyue,YANG Huijiong,et al.Vehicle networking interactive information control transmission and security sharing scheme[J].Chinese Journal on Internet of Things,2025,09(04):15-28.
王樊,代玥玥,杨慧炅等.车联网交互信息控制传输与安全共享方案[J].物联网学报,2025,09(04):15-28. DOI: 10.11959/j.issn.2096-3750.2025.00480.
WANG Fan,DAI Yueyue,YANG Huijiong,et al.Vehicle networking interactive information control transmission and security sharing scheme[J].Chinese Journal on Internet of Things,2025,09(04):15-28. DOI: 10.11959/j.issn.2096-3750.2025.00480.
在车联网中应用联盟链实现道路交通观测信息管理,可以兼顾公有链的去中心化和私有链的高效特性,提升车辆间通信的透明度。然而,现有方案没有充分考虑恶意车辆和恶意路侧单元(RSU
road side unit)节点传播虚假信息的风险,可能导致城市交通瘫痪和事故。此外,海量车辆数据和重复事件报告传输增加了计算和通信开销,影响了系统的可行性与可扩展性。针对上述问题,提出了针对车联网场景中交互信息的控制传输与高效安全共享方案。首先,设计了基于角度差自变换区域码的信息传输控制策略,该策略通过设定车辆区域码距离的阈值限制信息的转发量,并采用Bloom Filter对信息进行过滤,减少冗余信息的传输。其次,建立了基于诚信分的管理机制以应对恶意节点传播虚假信息对系统的破坏。最后,提出了动态管理多主节点Hotstuff(DMML-Hotstuff
dynamically manage multiple leader Hotstuff)共识算法,有效解决了单主节点性能瓶颈问题,并通过动态节点调整提高了系统吞吐量和拜占庭容忍度。仿真结果表明,所提方案相比现有方案减少了23%和39%的车辆信息传输量,并能实时评估诚信分,快速识别并隔离恶意节点。在共识算法方面,与3种主流拜占庭容错算法相比,吞吐量分别提高了19%、52%和188%。
The application of alliance chain in vehicle networking to achieve road traffic observation information management can take into account the decentralization of public chain and the efficient characteristics of private chain
and improve the transparency of communication between vehicles. However
existing schemes do not adequately consider the risk of malicious vehicles and malicious road side unit (RSU) nodes spreading false information
which can lead to urban traffic paralysis and accidents. In addition
the transmission of massive vehicle data and repeated incident reports increases the computing and communication overhead
which affects the feasibility and scalability of the system. Aiming at the above problems
a control transmission and efficient and secure sharing scheme for interactive information in the vehicle-connected scene was proposed. Firstly
an information transmission control strategy based on angular difference self-transforming area code was designed. The amount of information forwarded was limited by setting the threshold of vehicle area code distance
and Bloom Filter was adopted to filter information to reduce the transmission of redundant information. Secondly
a management mechanism based on credit points was established to deal with the damage to the system caused by malicious nodes spreading false information. Finally
the DMML-Hotstuff (dynamically manage multiple leader Hotstuff) consensus algorithm was proposed
which effectively solved the performance bottleneck of single master node. The system throughput and Byzantine tolerance were improved by dynamic node adjustment. The simulation results show that the proposed scheme reduces the vehicle information transmission by 23% and 39% compared with the existing methods
and can evaluate the credit score in real time and quickly identify and isolate malicious nodes. In terms of consensus algorithms
the throughput is improved by 19%
52% and 188%
respectively
compared to the three mainstream Byzantine fault-tolerant algorithms.
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