A High Area-Efficiency RRAM-Based Strong PUF with Multi-Entropy Source and Configurable Double-Read Process

Physically Unclonable Functions (PUFs) are emerging security primitives for authentication due to its high physical security. Especially for those with excellent area-efficiency and reliable immunity against attacks, the demand is larger. In order to achieve higher security and area-efficiency, this paper proposes a strong PUF based on resistive random-access memory (RRAM). We exploit both the switching randomness and intrinsic resistance distribution of RRAM to increase the randomness of entropy source, and design a novel strong PUF structure with double-read process to increase the challenge-response pairs (CRPs) and area-efficiency. A double XOR process is proposed to enhance the immunity against machine learning attack (MLA) with low area-overhead. Compared with the state of the art, the number of CRP has been greatly improved, demonstrating a better area-utilization. Simulation results show that the CRP generation time is 1. 8us, mean intra-HD of1.93%, inter-HD of 49.95% and uniformity of 49.02%. The above features of the proposed strong PUF make it a promising candidate for Internet of Things (IoTs) authentication applications.