Welcome to the resource topic for 2021/1067
Title:
A Tale of Twin Primitives: Single-chip Solution for PUFs and TRNGs
Authors: Kuheli Pratihar, Urbi Chatterjee, Manaar Alam, Debdeep Mukhopadhyay, Rajat Subhra Chakraborty
Abstract:Physically Unclonable Functions (PUFs) and True Random Number Generators (TRNGs) are two highly useful hardware primitives to build up the root-of-trust for an embedded device. PUFs are designed to offer repetitive and instance-specific randomness, whereas TRNGs are expected to be invariably random. In this paper, we present a dual-mode PUF-TRNG design that utilises two different hardware-intrinsic properties, i.e. oscillation frequency of the Transition Effect Ring Oscillator (TERO) cell and the propagation delay of a buffer within the cell to serve the purpose of both PUF and TRNG depending on the exact requirement of the application. The PUF design is also proposed to have a built-in resistance to machine learning (ML) and deep learning (DL) attacks, whereas the TRNG exhibits sufficient randomness.
ePrint: https://eprint.iacr.org/2021/1067
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