A Lossless and Modeling Attack-Resistant Strong PUF with <4E-8 Bit Error Rate


This paper presents a Strong PUF based on a complex network with embedded entropy sources (ES). ES are stabilized by Automated Entropy Source Stabilization using in-situ healing or fixing, without losing any challenge-response pairs (CRPs) or exposing raw ES values to off-chip. Our 65-nm prototype achieves <4E-8 BER, consumes 4.28pJ/bit, and operates at 150/540 Mb/s in normal/frequency boost modes. The generated CRPs pass randomness tests and is resistant against prevalent black-box and custom white-box attacks.

IEEE Custom Integrated Circuits Conference (CICC)
Yan He
Ph.D. Student (started in 2018)
Qixuan Yu
Class of 2022
Kaiyuan Yang
Associate Professor of ECE