基于双层区块链的信任管理模型,用于安全的车辆互联网
Wenbo Ruan1,2, Jia Liu1,2, Yuanfang Chen1,2
1School of Cyberspace Security, Hangzhou Dianzi University, Hangzhou 310018, China.
Sensors (Basel, Switzerland)
|July 11, 2023
概括
一个新的双层区块链信任管理 (DLBTM) 系统有效地识别了车辆互联网 (IoV) 中的恶意节点. 这种先进的车辆信任模型准确地评估了信息的可信度,提高了交通安全.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 运输系统 运输系统
背景情况:
- 车辆互联网 (IoV) 促进了数据共享,以提高车辆之间的环境感知.
- 在 IoV 网络中传播虚假信息可能会导致交通混乱和安全风险.
- 一个强大的车辆信任模型对于验证消息可信度至关重要.
研究的目的:
- 为IoV提出一种新的双层区块链信任管理 (DLBTM) 机制.
- 准确评估车辆消息的可信度,并检测恶意节点.
- 提高 IoV 通信的可靠性和安全性.
主要方法:
- 实现一个双层区块链架构,包括一个车辆区块链和一个RSU区块链.
- 量化车辆评估行为以建立历史信任值.
- 利用后勤回归计算车辆信任值和预测未来服务可靠性.
主要成果:
- DLBTM 机制有效地识别了 IoV 网络中的恶意节点.
- 随着时间的推移,该系统证明能够识别至少90%的恶意节点.
- 实现了对车辆信息可靠性的客观和准确的评估.
结论:
- 拟议的DLBTM机制显著改善了 IoV 中恶意节点的检测.
- 区块链技术为车辆信任管理提供了安全有效的解决方案.
- DLBTM 提高了整体 IoV 网络的安全性和可靠性,为更安全的交通环境做出了贡献.
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