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Combined Pseudo-Random Sequence Generator for Cybersecurity.

Volodymyr Maksymovych1, Mariia Shabatura1, Oleh Harasymchuk2

  • 1Department of Information Technology Security, Lviv Polytechnic National University, 79013 Lviv, Ukraine.

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|December 23, 2022
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Summary
This summary is machine-generated.

Optimized combined Fibonacci generators produce high-quality pseudo-random sequences. These enhanced generators offer reliable performance for cybersecurity applications.

Keywords:
authenticationencryption of informationpseudo-random numberpseudo-random sequence generators

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Area of Science:

  • Computer Science
  • Information Theory
  • Cryptography

Background:

  • Uniformly distributed random and pseudo-random number generators are essential across various applications.
  • The quality requirements for pseudo-random sequences vary based on the specific application.
  • Cybersecurity heavily relies on robust random number generation for encryption and security protocols.

Purpose of the Study:

  • To optimize the combined structure of classical and modified additive Fibonacci generators.
  • To determine optimal seed ranges for acceptable statistical characteristics in the output pseudo-random sequence.
  • To expand the application scope of these generators, particularly in cybersecurity.

Main Methods:

  • Optimization of classical additive Fibonacci generator and modified additive Fibonacci generator structures.
  • Analysis of statistical characteristics of the modified additive Fibonacci generator, focusing on logic circuit output signals.
  • Determination of conditions (odd module values) for acceptable statistical properties of the modified and combined generators.

Main Results:

  • Identified optimal initial settings (seed ranges) for the combined generators, ensuring acceptable statistical properties.
  • Demonstrated that acceptable statistical characteristics for the modified and combined generators are achieved with odd module values.
  • The combined generator's output signal exhibits acceptable characteristics across a broad spectrum of initial settings.

Conclusions:

  • The optimized combined additive Fibonacci generator provides a reliable source of high-quality pseudo-random sequences.
  • The findings significantly expand the potential applications of these generators, especially in critical areas like cybersecurity.
  • The study underscores the importance of advanced random number generation techniques for modern encryption and security.