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.
DAI Lan *(戴澜), YAN Qiangqiang (闫强强), YI Shengyu (易盛禹), LIU Wenkai (刘文楷), QIAN He (钱鹤)
. A Novel RRAM Based PUF for Anti-Machine Learning Attack and High Reliability[J]. Journal of Shanghai Jiaotong University(Science), 2019
, 24(1)
: 101
-106
.
DOI: 10.1007/s12204-019-2043-0
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