A Machine Learning Attack-Resilient Strong PUF Leveraging the Process Variation of MRAM
Author:
Affiliation:
1. Anhui High Reliability Chips Engineering Laboratory, Hefei Innovation Research Institute, Beihang University, Hefei, China
2. National ASIC Center, Southeast University, Nanjing, China
Funder
Beihang Hefei Innovation Research Institute Project
Science and Technology Major Project of Anhui Province
National Science Foundation of China Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/8920/9786589/09686071.pdf?arnumber=9686071
Reference20 articles.
1. Current-induced magnetization switching in atom-thick tungsten engineered perpendicular magnetic tunnel junctions with large tunnel magnetoresistance
2. Toward Energy-Efficient STT-MRAM Design With Multi-Modes Reconfiguration
3. Compact Model of Dielectric Breakdown in Spin-Transfer Torque Magnetic Tunnel Junction
4. A Multiplexer-Based Arbiter PUF Composition with Enhanced Reliability and Security
5. Scikit-learn: Machine learning in Python;pedregosa;J Mach Learn Res,2011
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