Self-Destructible 3-nm Pre-Amplifier Physical Unclonable Function With “Zero” Bit Error Rate

Eric Hunt-Schroeder,Amit Degada,Tian Xia

Published 2026 in IEEE Transactions on Circuits and Systems Part 1: Regular Papers

ABSTRACT

This article presents a Pre-Amplifier Physical Unclonable Function (PUF) fabricated in a 3-nm CMOS technology. The design achieves a “zero” Bit Error Rate (BER, <inline-formula> <tex-math notation="LaTeX">$\lt 8.17\times 10^{-9}$ </tex-math></inline-formula>) derived from the worst-case combination of enrollment (low voltage, low temperature) and key reconstruction (high voltage, high temperature) conditions. The design accommodates VDD voltages ranging from 650 mV to 950 mV and temperatures from <inline-formula> <tex-math notation="LaTeX">$- 40~^{\circ }$ </tex-math></inline-formula>C to <inline-formula> <tex-math notation="LaTeX">$125~^{\circ }$ </tex-math></inline-formula>C, meeting the requirements for most commercial applications in the technology sector. The BER reduction is achieved using a novel hybrid voting scheme. This scheme incorporates conservative unanimous voting during the stable bit identification (enrollment) and temporal majority voting during key reconstruction. Additionally, a gain enhancement stage using NFET cross-coupled devices is employed to maximize signal margins during reads. The design passes NIST SP800-90B and SP800-22 randomness tests while achieving 49.83% inter-chip hamming distance and 49.95% average hamming weight. The PUF can be reconfigured into a multi-stage self-destruction mode of operation in response to tamper events. The design combines electromigration (EM) and Time-Dependent Dielectric Breakdown (TDDB) to intentionally target the damage directly to the PUF data array containing stable (repeatable) bitcells. The result is an irreversible corruption of PUF encryption key to restrict all future authentication attempts.

PUBLICATION RECORD

  • Publication year

    2026

  • Venue

    IEEE Transactions on Circuits and Systems Part 1: Regular Papers

  • Publication date

    2026-02-01

  • Fields of study

    Computer Science, Engineering

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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