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Journal of Automation and Information Sciences

Published 12 issues per year

ISSN Print: 1064-2315

ISSN Online: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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Comparative Analysis of Pseudorandom Bit Sequence Generators

Volume 49, Issue 3, 2017, pp. 78-86
DOI: 10.1615/JAutomatInfScien.v49.i3.90
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ABSTRACT

The comparative analysis of characteristics of the pseudorandom bit sequence generators based on modified additive Fibonacci generator and the generator based on R-block is carried out. Repetition periods, the statistical security, speed, difficulty of construction and the amount of key information (key length) are investigated.

CITED BY
  1. Maksymovych V., Nyemkova E., Shevchuk M., Statistic Properties and Cryptographic Resistance of Pseudorandom Bit Sequence Generators, in Advances in Computer Science for Engineering and Education, 754, 2019. Crossref

  2. Maksymovych Volodymyr, Shabatura Mariia, Harasymchuk Oleh, Karpinski Mikolaj, Jancarczyk Daniel, Sawicki Pawel, Development of Additive Fibonacci Generators with Improved Characteristics for Cybersecurity Needs, Applied Sciences, 12, 3, 2022. Crossref

  3. Maksymovych Volodymyr, Nyemkova Elena, Justice Connie, Shabatura Mariia, Harasymchuk Oleh, Lakh Yuriy, Rusynko Morika, Simulation of Authentication in Information-Processing Electronic Devices Based on Poisson Pulse Sequence Generators, Electronics, 11, 13, 2022. Crossref

  4. Yu Shanshan, Krzysztof Przystupa, Yan Lingyu, Maksymovych Volodymyr, Stakhiv Roman, Malohlovets Andrii, Kochan Orest, Development of Modified Blum-Blum-Shub Pseudorandom Sequence Generator and its Use in Education, Measurement Science Review, 22, 3, 2022. Crossref

  5. Maksymovych Volodymyr, Shabatura Mariia, Harasymchuk Oleh, Shevchuk Ruslan, Sawicki Pawel, Zajac Tomasz, Combined Pseudo-Random Sequence Generator for Cybersecurity, Sensors, 22, 24, 2022. Crossref

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