基于双线配对和反向模糊提取网络的车辆特设网络验证方案
Zaid Ameen Abduljabbar1,2,3, Vincent Omollo Nyangaresi4,5, Ahmed Ali Ahmed6
1Department of Computer Science, College of Education for Pure Sciences, University of Basrah, Basrah, 61004, Iraq. zaid.ameen@uobasrah.edu.iq.
Scientific reports
|August 9, 2025
概括
本研究介绍了使用先进加密技术为车辆临时网络 (VANET) 提供安全的身份验证方案. 新的方法提高了隐私和效率,同时防范了常见的网络攻击.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 网络工程 网络工程
背景情况:
- 车辆特设网络 (VANET) 允许实时数据共享,以提高道路安全和交通管理.
- 目前在VANET中的安全方案往往遭受效率低下和攻击的脆弱性.
- 在VANET中大规模的数据传输引发了严重的隐私和安全问题.
研究的目的:
- 为VANETs设计一个高效且保持匿名的身份验证方案.
- 解决VANET中现有的安全解决方案的局限性.
- 提高车辆通信系统的整体安全性和隐私性.
主要方法:
- 利用反向模糊提取,双线配对和物理不克隆功能 (PUF).
- 开发一种新的身份验证协议,用于安全的会话密钥建立.
- 进行正式安全和语义安全分析.
主要成果:
- 拟议的方案确保了安全的会话密钥导出和匿名性.
- 证明了对假冒身份,拒绝服务和脱同步攻击的弹性.
- 实现了66.696%的计算成本降低和70%的安全功能增加.
结论:
- 开发的身份验证方案为VANETs提供了强大的安全性和隐私.
- 与现有方法相比,这种方法在效率和安全性方面取得了显著的改进.
- 这有助于更安全,更有效的技术驱动的运输系统.
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