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Title An Extensive PUF of Bistable Rings Feed-forward Chains with Lightweight Secure Architecture for Enhanced ML Attack Resistance
Authors (Jiho Han);(Changyong Shin)
Page pp.76-83
ISSN 1598-1657
Keywords Physical unclonable function; bistable ring; nonlinear operation; modeling attack; machine learning
Abstract This article presents a physical unclonable function (PUF) exploiting nonlinear behaviors of bistable rings (BRs), feed-forward path, and lightweight secure architecture. To evaluate the resistance against modeling attacks based on contemporary machine learning (ML) techniques, the proposed PUF has been implemented on a 28 nm low-cost field programmable gate array (FPGA) device. One PUF with 64-bit challenge and 32-bit response only requires 2,144 look-up tables (LUTs) of hardware resource. Much bigger and more secure PUFs can also be easily built thanks to the lightweight and scalable characteristics. Experimental data shows that the proposed extensive PUF has enhanced ML attack resistance significantly better than individual BR, feed-forward, or XOR PUFs. It is infeasible for a support vector machine (SVM) to predict responses from the proposed PUF, which makes it one of the most promising candidates for extensive PUFs. Statistical analysis also delivers 48.31% of uniqueness and 98.15% of reliability, respectively.