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A Lightweight and Machine-Learning-Resistant PUF Using Obfuscation-Feedback-Shift-Register.

Authors :
Chen, Zhuojun
Lee, Wenshang
Hong, Qinhui
Gu, Chongyan
Guan, Zhenyu
Ding, Lin
Zhang, Jiliang
Source :
IEEE Transactions on Circuits & Systems. Part II: Express Briefs; Nov2022, Vol. 69 Issue 11, p4543-4547, 5p
Publication Year :
2022

Abstract

Physical Unclonable Function (PUF) is a lightweight hardware security primitive and suitable for device authentication in the Internet of Things. However, each strong PUF instance must store at least 106 reliable challenge-response pairs in the center nodes, which brings an excessive storage overhead since centers connect massive remote PUFs. In this brief, an obfuscation-feedback-shift-register (OFSR) PUF is designed, consisting of certain weak PUF cells working with an obfuscation mechanism. Meanwhile, it efficiently reduces the storage overhead and overcomes the collapse response caused by normal linear-feedback-shift-register, providing higher security. Experiments show OFSR PUF has ideal performance on reliability, uniqueness, uniformity, randomness, and good resistance to machine learning attacks. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15497747
Volume :
69
Issue :
11
Database :
Complementary Index
Journal :
IEEE Transactions on Circuits & Systems. Part II: Express Briefs
Publication Type :
Academic Journal
Accession number :
160688830
Full Text :
https://doi.org/10.1109/TCSII.2022.3193002