A Lightweight and Machine-Learning-Resistant PUF Using Obfuscation-Feedback-Shift-Register
Zhuojun Chen, Wenshang Lee, Qinghui Hong, Chongyan Gu, Zhenyu Guan, Lin Ding, Jiliang Zhang
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.