J Shanghai Jiaotong Univ Sci

Journal of Shanghai Jiao Tong University (Science) ›› 2019, Vol. 24 ›› Issue (1): 101-106.doi: 10.1007/s12204-019-2043-0

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A Novel RRAM Based PUF for Anti-Machine Learning Attack and High Reliability

A Novel RRAM Based PUF for Anti-Machine Learning Attack and High Reliability

DAI Lan *(戴澜), YAN Qiangqiang (闫强强), YI Shengyu (易盛禹), LIU Wenkai (刘文楷), QIAN He (钱鹤)   

  1. (1. Academy of Electronic Information Engineering, North China University of Technology, Beijing 100144, China; 2. Institute of Microelectronics, Tsinghua University, Beijing 100084, China)
  2. (1. Academy of Electronic Information Engineering, North China University of Technology, Beijing 100144, China; 2. Institute of Microelectronics, Tsinghua University, Beijing 100084, China)
  • Online:2019-02-28 Published:2019-01-28
  • Contact: DAI Lan *(戴澜) E-mail:perfect_dai@163.com

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Abstract: Due to the unique response mechanism, physical unclonable function (PUF) has been extensively studied as a hardware security primitive. And compared to other PUFs, the resistive random access memory (RRAM) based PUF has more flexibility with the change of conductive filaments. In this work, we propose an exclusive or (XOR) strong PUF based on the 1Kbit 1-transistor-1-resistor (1T1R) arrays, and unlike the traditional RRAM based strong PUF, the XOR PUF has a stronger anti-machine learning attack ability in our experiments. The reliability of XOR RRAM PUF is determined by the read instability, thermal dependence of RRAM resistance, and aging. We used a split current distribution scheme to make the reliability of XOR PUF significantly improved. After baking for 50 h at a high temperature of 150?C, the intra-chip Hamming distance (Intra-HD) only increased from 0 to 4.5%. The inter-chip Hamming distance (Inter-HD) and uniformity are close to 50% (ideally). And it is proven through the NIST test that XOR PUF has a high uniqueness.

Key words: physical unclonable functions| resistive random access memory| machine learning attack| antimachine learning attack| XOR RRAM PUF

摘要： Due to the unique response mechanism, physical unclonable function (PUF) has been extensively studied as a hardware security primitive. And compared to other PUFs, the resistive random access memory (RRAM) based PUF has more flexibility with the change of conductive filaments. In this work, we propose an exclusive or (XOR) strong PUF based on the 1Kbit 1-transistor-1-resistor (1T1R) arrays, and unlike the traditional RRAM based strong PUF, the XOR PUF has a stronger anti-machine learning attack ability in our experiments. The reliability of XOR RRAM PUF is determined by the read instability, thermal dependence of RRAM resistance, and aging. We used a split current distribution scheme to make the reliability of XOR PUF significantly improved. After baking for 50 h at a high temperature of 150?C, the intra-chip Hamming distance (Intra-HD) only increased from 0 to 4.5%. The inter-chip Hamming distance (Inter-HD) and uniformity are close to 50% (ideally). And it is proven through the NIST test that XOR PUF has a high uniqueness.

关键词: physical unclonable functions| resistive random access memory| machine learning attack| antimachine learning attack| XOR RRAM PUF

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