2017/02/24 by Yansong Gao, Gao, Yansong, Damith C. Ranasinghe +1
Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Neuroscience and Neural Engineering #Physical Unclonable Functions (PUFs) and Hardware Security #cs.ET
paper · pdf · doi:10.48550/arxiv.1702.07491
arxiv created 2017/02/24 · openalex publication_date 2017/02/24 · arxiv updated 2017/03/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We present a memristive device based R 3 PUF construction achieving highly desired PUF properties, which are not offered by most current PUF designs: (1) High reliability, almost 100% that is crucial for PUF-based cryptographic key generations, significantly reducing, or even eliminating the expensive overhead of on-chip error correction logic and the associated helper on-chip data storage or off-chip storage and transfer. (2) Reconfigurability, while current PUF designs rarely exhibit such an attractive property. We validate our R 3 PUF via extensive Monte-Carlo simulations in Cadence based on parameters of real devices. The R 3 PUF is simple, cost-effective and easy to manage compared to other PUF constructions exhibiting high reliability or reconfigurability. None of previous PUF constructions is able to provide both desired high reliability and reconfigurability concurrently.