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◆ IEEE Transactions on Very Large Scale Integration (VLSI) Systems2026-03-12· Computer science

Highly Reliable RRAM-Based Physical Unclonable Function With Auto-Write Technique

Li Ni, Shijie Wu, Jing Pu, Shuwen Xin, Aolin Wang, Xinhui Chen, Zhengxun Lai, You Meng

原始摘要(英文原文)· Original abstract
Physical unclonable functions (PUFs) have attracted significant attention for high-security applications, particularly in the Internet of Things (IoT). While resistive random access memory (RRAM)-based PUF technology offers excellent energy efficiency and integration density, its reliability remains a major challenge. This work proposes a highly reliable RRAM-based PUF that utilizes the 4T2R cross-coupled PUF cell to extract the response. Additionally, an automatic write-back technique is introduced to enhance the initial resistance mismatch in RRAM, thereby improving the PUF reliability. Experimental results demonstrate that the proposed PUF achieves outstanding performance, with near-ideal uniqueness (50.02%), uniformity (50.11%), and robust randomness (passing NIST 800-22 tests). The design exhibits robust reliability across a wide operating range (from$- 40~^{\circ }$C to$120~^{\circ }$C and 0.7 to 1.4 V), achieving a bit error rate (BER) of$\lt 4.89\times 10^{-7}$. Furthermore, the energy consumption per bit is optimized to 4.8 fJ at 1.1 V,$25~^{\circ }$C, showing its suitability for energy-constrained applications.
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