基于物理非克隆功能的隐私保护认证方案,用于使用硬件加速的自动驾驶汽车
Rabeea Fatima1, Ujunwa Madububambachu1, Ahmed Sherif1
1School of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS 39406, USA.
Sensors (Basel, Switzerland)
|February 27, 2026
概括
这项研究引入了使用物理非克隆功能 (PUF) 和先进加密的连接汽车的新安全系统. 它增强了身份验证,并保护了智能城市交通网络中的用户隐私.
科学领域:
- 网络安全 网络安全
- 智慧城市技术 智慧城市技术
- 汽车工程 汽车工程
背景情况:
- 智能城市利用汽车互联网 (IoVs) 实现高效的城市管理和交通安全.
- 越来越多的 IoV 连接性引发了自动驾驶汽车 (AV) 的重大安全和隐私问题.
研究的目的:
- 建议在 IoV 架构中为 AV 提供一种新的保护隐私的身份验证方案.
- 增强 IoV 系统的安全性,防止身份欺诈和中间人攻击等网络威胁.
主要方法:
- 利用物理不可克隆功能 (PUF) 来生成用于AV认证的随机秘密密钥.
- 实施了基于双线配对的加密技术,支持对加密数据进行安全搜索.
- 使用现场可编程网关数组 (FPGA) 实现硬件加速,以实现高效的数据处理.
主要成果:
- 拟议的PUF设计确保了AV用户秘密密钥的真正随机性,提高了安全性.
- 验证方案在各种条件下显示出高可靠性 (超过98.5%) 和强大的区分能力 (接近49.9%的独特性).
- 在FPGA平台上的硬件实现显示了低资源利用率 (例如,<80%的LUT),证实了可行性和效率.
结论:
- 开发的身份验证框架有效地解决了 IoV 环境中的安全和隐私挑战.
- 集成PUF和先进加密提供了一个强大的解决方案来保护自动驾驶汽车.
- 硬件效率高的设计适用于智能城市基础设施的实际部署.
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