匿名和高效的混乱基于地图的身份验证协议,用于工业物联网.
Dake Zeng1, Akhtar Badshah2, Shanshan Tu1
1College of Computer Science, Beijing University of Technology, Beijing 100124, China.
Sensors (Basel, Switzerland)
|December 31, 2025
概括
本研究介绍了工业物联网 (IIoT) 的新安全协议,以保护敏感数据. 它使用先进的密码学和生物识别技术,用于安全的用户身份验证和IIoT系统的访问控制.
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:
- 工业物联网 (IIoT) 框架可以通过智能传感设备进行远程数据分析.
- 通过公共网络传输实时IIoT数据会带来严重的安全和隐私风险.
- 强大的用户身份验证对于防止IIoT环境中未经授权的访问至关重要.
研究的目的:
- 为 IIoT 提出一个新的用户身份验证和关键协议协议协议.
- 在IIoT环境中增强安全性和功能完整性.
- 将服务访问限制在授权用户和指定智能传感器上.
主要方法:
- 该协议集成了加密哈希函数,混乱地图,物理不可克隆函数 (PUF) 和模糊提取器.
- PUF提供了防止改和克隆的保护.
- 模糊提取器可以使用智能卡,密码和生物识别来进行安全的生物识别验证.
主要成果:
- 该协议支持动态设备注册,密码/生物识别更新和智能卡撤销.
- 使用实时或随机 (ROR) 模型的正式安全分析验证了会话密钥安全性.
- 非正式的安全分析证实了对各种攻击的抵抗力.
结论:
- 拟议的协议为IIoT系统提供了增强的安全性和功能完整性.
- 与现有基准相比,对比评估显示出更高的效率和安全性.
- 这有助于在工业环境中更安全地进行远程数据分析.
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