2015/05/13 by Cheng-Wei Lin, Lin, Cheng-Wei, Jae-Won Jang +3
Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Neuroscience and Neural Engineering #Physical Unclonable Functions (PUFs) and Hardware Security #cs.CR
paper · pdf · doi:10.48550/arxiv.1505.03213
arxiv created 2015/05/13 · openalex publication_date 2015/05/13 · arxiv updated 2015/05/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We propose Schmitt-Trigger (ST) based recycling sensor that are tailored to amplify the aging mechanisms and detect fine grained recycling (minutes to seconds). We exploit the susceptibility of ST to process variations to realize high-quality arbiter PUF. Conventional SRAM PUF suffer from environmental fluctuation-induced bit flipping. We propose 8T SRAM PUF with a back-to-back PMOS latch to improve robustness by 4X. We also propose a low-power 7T SRAM with embedded Magnetic Tunnel Junction (MTJ) devices to enhance the robustness (2.3X to 20X).