Yet Another Pseudorandom Number Generator

Authors

  • Borislav Stoyanov Konstantin Preslavsky University of Shumen
  • Krzysztof Szczypiorski Politechnika Warszawska Wydział Elektroniki i Technik Informacyjnych (WEiTI) Instytut Telekomunikacji ul. Nowowiejska 15/19 00-665 Warszawa
  • Krasimir Kordov Konstantin Preslavsky University of Shumen

Abstract

We propose a novel pseudorandom number generator based on Roessler attractor and bent Boolean function. We estimated the output bits properties by number of statistical tests. The results of the cryptanalysis show that the new pseudorandom number generation scheme provides a high level of data security.

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Published

2017-04-18

Issue

Section

Security, Safety, Military