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Author Iyengar, Anirudh ♦ Ghosh, Swaroop ♦ Ramclam, Kenneth ♦ Jang, Jae-Won ♦ Lin, Cheng-Wei
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2016
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Domain wall memory ♦ Chip authentication ♦ Hardware security ♦ Magnetic attack ♦ Nanowire ♦ Physically unclonable function ♦ Threat models
Abstract We propose spintronic physically unclonable functions (PUFs) to exploit security-specific properties of domain wall memory (DWM) for security, trust, and authentication. We note that the nonlinear dynamics of domain walls (DWs) in the physical magnetic system is an untapped source of entropy that can be leveraged for hardware security. The spatial and temporal randomness in the physical system is employed in conjunction with microscopic and macroscopic properties such as stochastic DW motion, stochastic pinning/depinning, and serial access to realize novel relay-PUF and memory-PUF designs. The proposed PUFs show promising results (∼50% interdie Hamming distance (HD) and 10% to 20% intradie HD) in terms of randomness, stability, and resistance to attacks. We have investigated noninvasive attacks, such as machine learning and magnetic field attack, and have assessed the PUFs resilience.
Description Author Affiliation: University of South Florida, FL, U.S.A (Iyengar, Anirudh; Ghosh, Swaroop; Ramclam, Kenneth; Jang, Jae-Won; Lin, Cheng-Wei)
ISSN 15504832
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2016-04-01
Publisher Place New York
e-ISSN 15504840
Journal ACM Journal on Emerging Technologies in Computing Systems (JETC)
Volume Number 13
Issue Number 1
Page Count 15
Starting Page 1
Ending Page 15


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Source: ACM Digital Library