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Set-based Obfuscation for Strong PUFs against Machine Learning Attacks
[article]
2019
arXiv
pre-print
Strong physical unclonable function (PUF) is a promising solution for device authentication in resourceconstrained applications but vulnerable to machine learning attacks. In order to resist such attack, many defenses have been proposed in recent years. However, these defenses incur high hardware overhead, degenerate reliability and are inefficient against advanced machine learning attacks such as approximation attacks. In order to address these issues, we propose a Random Set-based Obfuscation
arXiv:1806.02011v4
fatcat:rclgs6eozzhbxky7fzwqhkf4ui