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Self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor

Author

Listed:
  • Gwangmin Kim

    (Korea Advanced Institute of Science and Technology (KAIST))

  • Jae Hyun In

    (Korea Advanced Institute of Science and Technology (KAIST))

  • Young Seok Kim

    (Korea Advanced Institute of Science and Technology (KAIST))

  • Hakseung Rhee

    (Korea Advanced Institute of Science and Technology (KAIST))

  • Woojoon Park

    (Korea Advanced Institute of Science and Technology (KAIST))

  • Hanchan Song

    (Korea Advanced Institute of Science and Technology (KAIST))

  • Juseong Park

    (Korea Advanced Institute of Science and Technology (KAIST))

  • Kyung Min Kim

    (Korea Advanced Institute of Science and Technology (KAIST))

Abstract

The intrinsic stochasticity of the memristor can be used to generate true random numbers, essential for non-decryptable hardware-based security devices. Here, we propose a novel and advanced method to generate true random numbers utilizing the stochastic oscillation behavior of a NbOx mott memristor, exhibiting self-clocking, fast and variation tolerant characteristics. The random number generation rate of the device can be at least 40 kb s−1, which is the fastest record compared with previous volatile memristor-based TRNG devices. Also, its dimensionless operating principle provides high tolerance against both ambient temperature variation and device-to-device variation, enabling robust security hardware applicable in harsh environments.

Suggested Citation

  • Gwangmin Kim & Jae Hyun In & Young Seok Kim & Hakseung Rhee & Woojoon Park & Hanchan Song & Juseong Park & Kyung Min Kim, 2021. "Self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-23184-y
    DOI: 10.1038/s41467-021-23184-y
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    Cited by:

    1. Hakseung Rhee & Gwangmin Kim & Hanchan Song & Woojoon Park & Do Hoon Kim & Jae Hyun In & Younghyun Lee & Kyung Min Kim, 2023. "Probabilistic computing with NbOx metal-insulator transition-based self-oscillatory pbit," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    2. Kyung Seok Woo & Janguk Han & Su-in Yi & Luke Thomas & Hyungjun Park & Suhas Kumar & Cheol Seong Hwang, 2024. "Tunable stochastic memristors for energy-efficient encryption and computing," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    3. Kyung Seok Woo & Alan Zhang & Allison Arabelo & Timothy D. Brown & Minseong Park & A. Alec Talin & Elliot J. Fuller & Ravindra Singh Bisht & Xiaofeng Qian & Raymundo Arroyave & Shriram Ramanathan & Lu, 2024. "True random number generation using the spin crossover in LaCoO3," Nature Communications, Nature, vol. 15(1), pages 1-9, December.

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