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Combined Pseudo-Random Sequence Generator for Cybersecurity

Volodymyr Maksymovych, Mariia Shabatura, Oleh Harasymchuk, Ruslan Shevchuk, Paweł Sawicki, Tomasz Zajac

2022Sensors26 citationsDOIOpen Access PDF

Abstract

Random and pseudo-random number and bit sequence generators with a uniform distribution law are the most widespread and in demand in the market of pseudo-random generators. Depending on the specific field of application, the requirements for their implementation and the quality of the generator's output sequence change. In this article, we have optimized the structures of the classical additive Fibonacci generator and the modified additive Fibonacci generator when they work together. The ranges of initial settings of structural elements (seed) of these generators have been determined, which guarantee acceptable statistical characteristics of the output pseudo-random sequence, significantly expanding the scope of their possible application, including cybersecurity. When studying the statistical characteristics of the modified additive Fibonacci generator, it was found that they significantly depend on the signal from the output of the logic circuit entering the structure. It is proved that acceptable statistical characteristics of the modified additive Fibonacci generator, and the combined generator realized on its basis, are provided at odd values of the module of the recurrent equation describing the work of such generator. The output signal of the combined generator has acceptable characteristics for a wide range of values of the initial settings for the modified additive Fibonacci generator and the classic additive Fibonacci generator. Regarding the use of information security, it is worth noting the fact that for modern encryption and security programs, generators of random numbers and bit sequences and approaches to their construction are crucial and critical.

Topics & Concepts

Fibonacci numberGenerator (circuit theory)Self-shrinking generatorPseudorandom number generatorRandom sequenceRandom number generationSequence (biology)Computer scienceEncryptionSignal generatorRandom seedSIGNAL (programming language)AlgorithmMathematicsDistribution (mathematics)Electrical engineeringDiscrete mathematicsTelecommunicationsEngineeringComputer networkPhysicsInduction generatorVoltageBiologyMathematical analysisGeneticsQuantum mechanicsChipProgramming languagePower (physics)Chaos-based Image/Signal EncryptionCryptographic Implementations and SecurityFractal and DNA sequence analysis
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