区块链驱动的VANET智能运输系统的信任管理
Hariharasudhan V1, Vetrivelan P2, Elizabeth Chang3
1School of Electronics Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, 600127, India.
Scientific reports
|November 12, 2025
概括
本研究介绍了使用物理不可克隆函数 (PUF) 和基于角色的增强量化实用拜占庭式故障容忍 (EQPBFT) 共识机制的安全车辆特设网络 (VANET) 的统一框架. 该系统增强了智能运输系统的网络安全和效率.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 智能运输系统 智能运输系统
背景情况:
- 车辆特设网络 (VANET) 对于智能运输系统 (ITS) 至关重要,它可以实现车辆到一切 (V2X) 通信.
- 对于VANET来说,强大的安全性至关重要,以确保交通效率和道路安全,同时保护用户隐私.
- 现有的区块链-VANET解决方案经常孤立地解决安全方面的问题,缺乏全面的方法.
研究的目的:
- 为VANETs提出一个统一的信任管理框架,该框架集成了轻量级认证,高效的共识和先进的入侵检测.
- 增强VANET的安全性,弹性和效率,防止恶意攻击和网络漏洞.
- 通过模拟和与现有模型的比较来验证拟议框架的性能.
主要方法:
- 物理非克隆功能 (PUF) 的集成,用于轻量级节点身份验证.
- 实施基于角色的增强量化实用拜占庭式故障容忍 (EQPBFT) 共识机制,以确保区块的安全创建.
- 开发基于深度神经网络 (DNN) 的入侵检测系统,以加强威胁分类.
主要成果:
- 通过有效识别和减轻恶意节点,EQPBFT算法证明了网络弹性得到改善.
- 基于DNN的入侵检测系统实现了高威胁分类和攻击检测准确性 (95%).
- 模拟结果显示,计算时间缩短 (比PBFT低25%),区块创建速度更快 (200个节点的6.6 ms与5.2 ms).
结论:
- 拟议的统一框架通过结合PUF,EQPBFT和基于DNN的入侵检测,有效地提高了VANET的安全性和效率.
- 该系统为VANET的信任管理提供了强大而高效的解决方案,在关键性能指标中表现优于基线模型.
- 这些发现证实了该框架在提高智能交通系统整体安全性和性能方面的潜力.
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