使用PUF和云辅助ECC的XR眼镜的轻量级身份验证和密钥分配协议.
Wukjae Cha1, Hyang Jin Lee1, Sangjin Kook1
1Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon-si 16419, Republic of Korea.
Sensors (Basel, Switzerland)
|January 10, 2026
概括
本研究介绍了PXRA,这是一种用于扩展现实 (XR) 设备的安全身份验证协议. 它使用物理无法克隆的函数 (PUF) 和基于云的加密技术,以确保实时XR应用程序的高效和私有通信.
科学领域:
- 扩展现实 (XR) 安全性
- 网络安全 网络安全
- 应用密码学 应用密码学
背景情况:
- 扩展现实 (XR) 集成了人工智能,云和5G,在各个领域提供了变革性的潜力.
- 由于资源有限和实时数据传输,XR设备面临着计算和隐私方面的挑战.
- 现有的身份验证方法对于紧的XR架构是低效的.
研究的目的:
- 引入PXRA (基于PUF的XR认证),这是一个用于云辅助XR环境的轻量级和安全的协议.
- 解决实时XR数据传输中的安全和隐私漏洞.
- 通过云卸载来提高XR设备的计算效率.
主要方法:
- 对于硬件级认证,PXRA使用了物理无法克隆的函数 (PUF).
- 圆曲线加密 (ECC) 操作被卸载到云端以提高效率.
- 与关联数据 (AEAD) 进行身份验证加密可以确保消息的机密性和完整性.
- 在Dolev-Yao对手模型下使用ProVerif进行正式验证.
主要成果:
- 通过轻量级的PUF和哈希函数,PXRA可以减少设备端的计算开销.
- 实现了低于15ms的平均身份验证延迟,适合实时XR.
- 正式分析证实了对重播,假冒和关键妥协攻击的抵抗力.
- 保持用户匿名性和会话无法链接.
结论:
- PXRA展示了将PUF身份验证与云辅助加密技术集成为安全,可扩展,实时XR系统的可行性.
- 混合PUF-云 ECC架构为远程医疗,远程协作和沉浸式教育中的安全XR应用提供了基础.
- 该协议提供了增强的安全功能,包括上下文绑定的AEAD和耐噪声模糊提取器.
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