Practical Cryptographically-Secure PUFs based on Learning Parity with Noise

  • Authors:
    Chenglu Jin (NYU-Poly), Phuong Ha Nguyen (MIT), Charles Herder (MIT), Ben Fuller (MIT), Ling Ren (MIT), Srini Devadas (MIT), Marten Van Dijk (UCONN)
    Publication ID:
    P091171
    Publication Type:
    Deliverable Report
    Received Date:
    26-Jun-2017
    Last Edit Date:
    26-Jun-2017
    Research:
    2642.001 (Mass. Institute of Technology)

Abstract

Herder et al. (Transactions on Dependable and Secure Computing) designed a new computational fuzzy extractor and physical unclonable function (PUF) challenge-response protocol based on the Learning Parity with Noise (LPN) problem. The protocol requires no storage on the PUF and can correct for significant measurement noise. However, Herder et al. did not implement their protocol. In this paper, we give the first implementation of a challenge response protocol based on computational fuzzy extractors. Our construction is a simplified version of the design of Herder et al. and builds on a ring oscillator PUF. Our simplifications allow for a dramatic reduction in area by making a mild assumption on PUF output bits.

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