Please use this identifier to cite or link to this item: https://doi.org/10.1109/TCAD.2015.2427251
Title: Optimizating Emerging Nonvolatile Memories for Dual-Mode Applications: Data Storage and Key Generator
Authors: Zhang, Le
Fong, Xuanyao 
Chang, Chip-Hong
Kong, Zhi Hui
Roy, Kaushik
Keywords: Science & Technology
Technology
Computer Science, Hardware & Architecture
Computer Science, Interdisciplinary Applications
Engineering, Electrical & Electronic
Computer Science
Engineering
Emerging nonvolatile memories (eNVMs)
hardware security
physical unclonable function (PUF)
spin-transfer torque magnetic RAM (STT-MRAM)
PHASE-CHANGE MEMORY
DESIGN
SIMULATION
DEVICE
PUFS
Issue Date: 1-Jul-2015
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation: Zhang, Le, Fong, Xuanyao, Chang, Chip-Hong, Kong, Zhi Hui, Roy, Kaushik (2015-07-01). Optimizating Emerging Nonvolatile Memories for Dual-Mode Applications: Data Storage and Key Generator. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS 34 (7) : 1176-1187. ScholarBank@NUS Repository. https://doi.org/10.1109/TCAD.2015.2427251
Abstract: © 1982-2012 IEEE. Memory-based physical unclonable functions (PUFs) have been studied and developed as powerful primitives to generate device-specific random keys, which can be used for various security applications. However, the existing memory-based PUFs need to safely buffer the data bits in the memory before it is used to produce random bits, resulting in additional area/energy consumption and potential data security issues. In this paper, we propose a new memory-based PUF that exploits the nonvolatility and random variability of emerging memory technologies to produce random bits. Unlike conventional implementations, the random bit generation process of our proposed PUF does not disturb the data bits already stored in the memory. To satisfy the quality requirements for both memory and PUF applications, we also propose a general method to find the optimal design point of emerging nonvolatile memory (eNVM)-based PUF. An illustrative design using spin-transfer torque magnetic RAM exhibits desirable results using our method. Compared to the conventional types of memory-based PUFs, eNVM-based PUFs features enhanced security as cryptographic primitives and lower area and energy cost as data storage.
Source Title: IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
URI: https://scholarbank.nus.edu.sg/handle/10635/156184
ISSN: 0278-0070
1937-4151
DOI: 10.1109/TCAD.2015.2427251
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