New Class of Non-binary Pseudorandom Number Generators

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Abstract

Pseudo-Random Number Generators (PRNG) has a wide range of applications. PRNG are the most important elements of any information security system. Scope of their application is very wide: in range from key information generation to entering unpredictability into the functioning of protection means and objects. The most interesting classes of PRNG are Linear Feedback Shift Registers (LFSR) and Non-Linear Shift Registers (NLFSR). New class of sequences are formed by NLFSR with structure determined by characteristic polynomials of particular form are considered in this paper.

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Ivanov, M. A., Kliuchnikova, B. V., Salikov, E. A., & Starikovskii, A. V. (2020). New Class of Non-binary Pseudorandom Number Generators. In Mechanisms and Machine Science (Vol. 80, pp. 291–298). Springer Science and Business Media B.V. https://doi.org/10.1007/978-3-030-33491-8_35

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