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True Random Number Generation from Bioelectrical and Physical Signals.

Seda Arslan Tuncer1, Turgay Kaya2

  • 1Department of Software Engineering, Faculty of Engineering, Fırat University, 23119 Elazig, Turkey.

Computational and Mathematical Methods in Medicine
|August 2, 2018
PubMed
Summary

This study demonstrates the generation of unique, true random numbers using bioelectrical and physical signals. These signals, processed through chaotic sampling and XOR postprocessing, yield statistically robust random numbers suitable for authentication and key generation.

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Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Cybersecurity

Background:

  • True random number generation is crucial for secure applications like authentication and cryptography.
  • Existing methods may have limitations in terms of predictability or hardware dependency.

Purpose of the Study:

  • To investigate the feasibility of generating personally identifiable true random numbers from bioelectrical and physical signals.
  • To assess the statistical quality of generated random numbers for security applications.

Main Methods:

  • Utilized bioelectrical (EEG, EMG, EOG) and physical (blood volume pulse, GSR, respiration) signals from BNCIHORIZON2020 databases.
  • Employed normalization, chaotic logistic map sampling, and XOR postprocessing for random number generation.
  • Validated statistical properties using NIST SP 800-22, scale index, and autocorrelation tests.

Main Results:

  • Generated random numbers from fifteen different signal types.
  • All generated numbers passed rigorous statistical tests for randomness and nonperiodicity.
  • Demonstrated the successful application of bioelectrical and physical signals for true random number generation.

Conclusions:

  • Bioelectrical and physical signals can be reliably used to generate personally identifiable true random numbers.
  • The proposed method offers a novel approach for creating secure and unique random number sequences.
  • This technique has potential applications in enhancing security for authentication and key generation.