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  1. Home
  2. A Memristor-based Unified Puf And Trng Chip With A Concealable Ability For Advanced Edge Security.
  1. Home
  2. A Memristor-based Unified Puf And Trng Chip With A Concealable Ability For Advanced Edge Security.

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A memristor-based unified PUF and TRNG chip with a concealable ability for advanced edge security.

Xueqi Li1, Bohan Lin1, Bin Gao1

  • 1School of Integrated Circuits, Beijing Advanced Innovation Center for Integrated Circuits, Tsinghua University, Beijing, 100084, China.

Science Advances
|March 26, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

This study presents a unified chip for Physically Unclonable Functions (PUFs) and True Random Number Generators (TRNGs) using memristor technology. The design offers enhanced security and efficiency for Internet of Things (IoT) devices.

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Materials Science

Background:

  • Internet of Things (IoT) security relies on primitives like Physically Unclonable Functions (PUFs) and True Random Number Generators (TRNGs) for key generation and random bitstreams.
  • Resource constraints in IoT devices necessitate integrated solutions for PUFs and TRNGs, ideally sharing entropy sources and extraction mechanisms.

Purpose of the Study:

  • To develop and characterize a unified PUF and TRNG chip leveraging memristor technology for enhanced IoT security.
  • To address the challenge of PUF data leakage through a novel concealment method.

Main Methods:

  • A 28-nanometer embedded memristor was utilized as the core component, exploiting its intrinsic FORMING condition and read current variations as entropy sources.
  • A compact on-chip entropy extractor was designed and implemented to achieve high throughput.
  • A concealment technique was developed to protect PUF data during idle states and enable on-demand recovery.
  • Main Results:

    • The unified chip achieved a high throughput of 41.7 megabits per second with a minimal area overhead of 0.291 MF².
    • The memristor-based design demonstrated excellent performance in randomness, reliability, lifetime, and stability.
    • A 3.82-fold throughput improvement was observed in authentication tasks compared to complementary metal-oxide semiconductor (CMOS)-based designs.

    Conclusions:

    • The developed unified memristor-based PUF and TRNG chip offers a promising solution for secure and efficient IoT devices.
    • The integrated design and concealment method effectively enhance security while maintaining high performance and low resource utilization.
    • This work advances the integration of security primitives in resource-constrained IoT environments.