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Authentication of Optical Physical Unclonable Functions Based on Single-Pixel Detection

Pidong Wang, Feiliang Chen, Dong Li, Song Sun, Feng Huang, Taiping Zhang, Qian Li, Kun Chen, Yongbiao Wan, Xiao Xu Leng, Yao Yao

2021Physical Review Applied22 citationsDOIOpen Access PDF

Abstract

Physical unclonable function (PUF) has been proposed as a promising and trustworthy solution to a variety of cryptographic applications. Here we propose a nonimaging-based authentication scheme for optical PUFs materialized by random scattering media, in which the characteristic fingerprints of optical PUFs are extracted from stochastical fluctuations of the scattered light intensity with respect to laser challenges, which are detected by a single-pixel detector. The randomness, uniqueness, unpredictability, and robustness of the extracted fingerprints are validated to be qualified for real authentication applications. By increasing the key length and improving the signal-to-noise ratio, the false accept rate of a fake PUF can be dramatically lowered to the order of ${10}^{\ensuremath{-}28}$. In comparison to the conventional laser-speckle-imaging-based authentication with unique identity information obtained from textures of laser-speckle patterns, this nonimaging scheme can be implemented at small speckle size bellowing the Nyquist--Shannon sampling criterion of the commonly used CCD or CMOS cameras, offering benefits in system miniaturization and immunity against reverse engineering attacks simultaneously.

Topics & Concepts

Physical unclonable functionComputer scienceAuthentication (law)Speckle patternRobustness (evolution)CryptographyDetectorArtificial intelligenceComputer securityTelecommunicationsGeneBiochemistryChemistryPhysical Unclonable Functions (PUFs) and Hardware SecurityIntegrated Circuits and Semiconductor Failure AnalysisCell Image Analysis Techniques