Shao Xiang Go1,Qiang Wang1,Kian Guan Lim1,Tae Hoon Lee2,Natasa Bajalovic1,Desmond K. Loke1
Singapore University of Technology and Design1,University of Cambridge2
Shao Xiang Go1,Qiang Wang1,Kian Guan Lim1,Tae Hoon Lee2,Natasa Bajalovic1,Desmond K. Loke1
Singapore University of Technology and Design1,University of Cambridge2
Anticounterfeiting devices driven by physical unclonable functions (PUFs), as one of the emerging tools against counterfeiting, are easy to create but challenging to replicate due to intrinsic randomness. Phase-change memristive materials show large degree of randomness suitable for high performance and down-scalable PUF devices. Herein, we demonstrate the utilization of high-degree-of-randomness amorphous (A) state variations concomitant with different operating conditions via thermal fluctuation phenomena, together with a hybrid framework for in memory computing and next generation security primitive, i.e., A PUF, for attaining secure key generation and device authentication. Rapid crystallization process enables large-size key reconfigurability in A-PUF, while in-memory computing empowers a strong eXclusiveOR (XOR-) and-repeat A PUF construction to avoid machine learning attacks. Near ideal uniformity and uniqueness without additional initial writing overheads in weak memristive A-PUF is achieved. These PUF devices could provide a potential system to realize unbreakable anticounterfeiting.