Adaptive characterization and emulation of delay-based physical unclonable functions using statistical models

Abstract

It is commonly known that physical unclonable functions (PUFs) are hard to predict and hard to emulate. However, in this paper, we propose to use statistical models to adaptively characterize the delay-based PUFs, and use this as a starting point to emulate a delay-based PUF. The essential idea is that for any challenge <i>C</i><sub><i>A</i></sub> of a… (More)
DOI: 10.1145/2744769.2744791

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