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A Lockdown Technique to Prevent Machine Learning on PUFs for Lightweight Authentication
2016
IEEE Transactions on Multi-Scale Computing Systems
We present a lightweight PUF-based authentication approach that is practical in settings where a server authenticates a device, and for use cases where the number of authentications is limited over a device's lifetime. Our scheme uses a server-managed challenge/response pair (CRP) lockdown protocol: unlike prior approaches, an adaptive chosenchallenge adversary with machine learning capabilities cannot obtain new CRPs without the server's implicit permission. The adversary is faced with the
doi:10.1109/tmscs.2016.2553027
fatcat:hnrh7rptevgdvg5nzyne6n73o4