A Reconfigurable RRAM Physically Unclonable Function Utilizing Post-Process Randomness Source with <6×10-6 Native Bit Error Rate

📋 论文概要

本文提出一种基于RRAM的可重构物理不可克隆函数（PUF），利用后处理随机源实现密钥生成与认证。该设计解决了传统硅基PUF对操作条件敏感的问题，原生比特错误率低于6×10⁻⁶。

💡 主要创新点

• 利用RRAM后处理随机源作为PUF的熵源，提高对操作环境变化的鲁棒性。
• 提出可重构PUF架构，允许动态改变响应，增强安全性。
• 实现极低原生比特错误率（<6×10⁻⁶），无需纠错即可用于密钥生成。

🏷 关键词

📄 原文摘要

Wei-Hao Chen2, Ting-Wei Chang2, Wei-En Lin2, Xiaoyu Sun3, Shimeng Yu3, He Qian1, Meng-Fan Chang2, Huaqiang Wu1 Tsinghua University, Beijing, China National Tsing Hua University, Hsinchu, Taiwan 3 Georgia Institute of Technology, Atlanta, GA 1 2 Physically unclonable functions (PUFs) are promising primitives for hardware security with wide applications in the Internet of Things (IoT), e.g., authentication and encryption key generation [1, 2]. Most silicon PUFs utilize process variability of semiconductor manufacturing [1, 3, 4]. These implementations are sensitive to variations in operating conditions (e.g., supply voltage and temperature variations) and undergo significant native bit-error-rates (N-BERs). Thus, additional stabilizing strategies, such as ECC, majority voting, and masking, are necessary. Furthermore, the PUF key after enrollment cannot be changed in prior implementations [1–5]. This could be unsafe if the PUFs are repeatedly used in

👥 作者与机构

Yachuan Pang1, Bin Gao1, Dong Wu1, Shengyu Yi1, Qi Liu1,