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Soft Computing in Computer and Information Science pp 279–290Cite as

Secure Pseudo-Random Linear Binary Sequences Generators Based on Arithmetic Polynoms

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 342)

Abstract

We present a new approach to construction of pseudo-random binary sequences (PRBS) generators for the purpose of cryptographic data protection, secured from the perpetrator’s attacks, caused by generation of masses of hardware errors and faults. The new method is based on the use of linear polynomial arithmetic for the realization of systems of boolean characteristic functions of pseudo-random sequences (PRS) generators. “Arithmetization” of systems of logic formulas has allowed to apply mathematical apparatus of residue systems for multisequencing of the process of PRS generation and organizing control of computing errors, caused by hardware faults. This has guaranteed high security of PRS generator’s functioning and, consequently, security of tools for cryptographic data protection based on those PRSs.

Keywords

  • Cryptographic data protection
  • Pseudo-random binary sequences
  • Residue number systems

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Authors and Affiliations

  1. Institute of Computer Systems and Information Security of Kuban State Technological University, Moskovskaya St. 2, Krasnodar, Russia

    Oleg Finko & Sergey Dichenko

Authors
  1. Oleg Finko
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  2. Sergey Dichenko
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Corresponding author

Correspondence to Oleg Finko .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Poland

    Antoni Wiliński

  2. West Pomeranian University of Technology, Szczecin, Poland

    Imed El Fray

  3. Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Poland

    Jerzy Pejaś

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Finko, O., Dichenko, S. (2015). Secure Pseudo-Random Linear Binary Sequences Generators Based on Arithmetic Polynoms. In: Wiliński, A., Fray, I., Pejaś, J. (eds) Soft Computing in Computer and Information Science. Advances in Intelligent Systems and Computing, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-319-15147-2_24

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  • DOI: https://doi.org/10.1007/978-3-319-15147-2_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15146-5

  • Online ISBN: 978-3-319-15147-2

  • eBook Packages: EngineeringEngineering (R0)

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