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We developed a novel cryptographic transistor (cryptoristor)-based true random number generator (tRNG). This low-power, compact device leverages cryptoristor randomness for secure hardware solutions.

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Area of Science:

  • Materials Science
  • Electrical Engineering
  • Cryptography

Background:

  • True random number generators (tRNGs) are crucial for secure communication and cryptography.
  • Existing tRNGs often face challenges with power consumption, size, or reliability.
  • Novel entropy sources are needed for advanced hardware security applications.

Purpose of the Study:

  • To design and demonstrate a novel true random number generator (tRNG) utilizing a cryptographic transistor (cryptoristor).
  • To explore the potential of cryptoristor operation-induced randomness as a primary entropy source.
  • To develop a low-power, compact tRNG suitable for Internet of Things (IoT) security.

Main Methods:

  • Designed a cryptographic transistor (cryptoristor) as an entropy source.
  • Developed a noise-coupling analog-to-digital converter (ADC) for extracting binary random bits.
  • Characterized the tRNG's performance, including randomness, power consumption, and robustness.

Main Results:

  • The cryptoristor-based tRNG demonstrated high-quality randomness, passing all 15 NIST SP 800-22 test suites.
  • The developed noise-coupling ADC efficiently converted analog signals to digital random bits with low power consumption.
  • The tRNG exhibited robustness against operational stress and temperature variations.

Conclusions:

  • The cryptoristor is a viable and effective entropy source for true random number generation.
  • The designed tRNG offers a compelling solution for low-power, compact hardware security in IoT devices.
  • This work represents the first use of cryptoristor randomness for tRNG applications.