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Spintronic PUFs for Security, Trust, and Authentication

Spintronic PUFs for Security, Trust, and Authentication Spintronic PUFs for Security, Trust, and Authentication ANIRUDH IYENGAR, SWAROOP GHOSH, KENNETH RAMCLAM, JAE-WON JANG, and CHENG-WEI LIN, University of South Florida 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. CCS Concepts: Security and privacy Hardware-based security protocols; Spintronics and magnetic technologies r r Hardware Additional Key Words and Phrases: Domain wall memory, nanowire, hardware security, physically unclonable function, chip authentication, threat models, magnetic attack ACM Reference Format: Anirudh Iyengar, Swaroop Ghosh, Kenneth Ramclam, Jae-Won Jang, and http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Journal on Emerging Technologies in Computing Systems (JETC) Association for Computing Machinery

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2016 by ACM Inc.
ISSN
1550-4832
DOI
10.1145/2809781
Publisher site
See Article on Publisher Site

Abstract

Spintronic PUFs for Security, Trust, and Authentication ANIRUDH IYENGAR, SWAROOP GHOSH, KENNETH RAMCLAM, JAE-WON JANG, and CHENG-WEI LIN, University of South Florida 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. CCS Concepts: Security and privacy Hardware-based security protocols; Spintronics and magnetic technologies r r Hardware Additional Key Words and Phrases: Domain wall memory, nanowire, hardware security, physically unclonable function, chip authentication, threat models, magnetic attack ACM Reference Format: Anirudh Iyengar, Swaroop Ghosh, Kenneth Ramclam, Jae-Won Jang, and

Journal

ACM Journal on Emerging Technologies in Computing Systems (JETC)Association for Computing Machinery

Published: Apr 25, 2016

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