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  • 标题:Pseudo random number generator based on the generalized Lorenz chaotic system
  • 本地全文:下载
  • 作者:Volodymyr Lynnyk ; Noboru Sakamoto ; Sergej Čelikovský
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:18
  • 页码:257-261
  • DOI:10.1016/j.ifacol.2015.11.046
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractAn approach to generate the pseudo random number sequences from a single generalized Lorenz system (GLS) is proposed in this paper. New algorithms are introduced for the binary sequence generation based on the GLS. Basic statistical tests and security analysis of the pseudo random number generators (PRNG) based on the GLS are also provided. The results show that PRNG based on GLS can be good candidates for using in applications in secure communication.
  • 关键词:KeywordsChaoschaotic behaviourrandom number generatorspseudo random sequencesgeneralized Lorenz system
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