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A High-Entropy True Random Number Generator with Keccak Conditioning for FPGA.

Valeria Piscopo1, Alessandra Dolmeta1, Mattia Mirigaldi1

  • 1Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Torino, Italy.

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Summary
This summary is machine-generated.

This study introduces an open-source True Random Number Generator (TRNG) using ring oscillators and a Keccak conditioning unit. The design meets NIST and BSI standards for cryptographic randomness.

Keywords:
FPGATrue Random Number Generatorsentropykey generationopen-source hardwarering oscillators

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Area of Science:

  • Cryptography
  • Hardware Security
  • Random Number Generation

Background:

  • Cryptographic systems require high-quality randomness for security.
  • True Random Number Generators (TRNGs) are essential entropy sources.
  • NIST and BSI provide standards for TRNG design and validation.

Purpose of the Study:

  • To present a parameterized, open-source TRNG implementation.
  • To balance area, throughput, power, and entropy.
  • To adhere to NIST and BSI guidelines for cryptographic entropy sources.

Main Methods:

  • Design of a TRNG utilizing ring oscillators.
  • Integration of an optimized Keccak conditioning unit.
  • Literature and standards review for entropy source requirements.

Main Results:

  • The TRNG design passed NIST SP 800-22, NIST SP 800-90B, and BSI AIS-31 tests.
  • Achieved high min-entropy per bit: 0.9982 (NIST) and 0.9998 (BSI).
  • Demonstrated a balance between performance metrics and entropy quality.

Conclusions:

  • The proposed TRNG is a reliable entropy source for cryptographic applications.
  • The open-source implementation facilitates further research and development.
  • The design meets stringent international standards for random bit generation.