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  • 标题:Correlative Peak Interval Prediction and Analysis of Chaotic Sequences
  • 本地全文:下载
  • 作者:Ding, Qun ; Wang, Lu ; Chen, Guanrong
  • 期刊名称:Journal of Networks
  • 印刷版ISSN:1796-2056
  • 出版年度:2011
  • 卷号:6
  • 期号:7
  • 页码:1049-1056
  • DOI:10.4304/jnw.6.7.1049-1056
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要:The paper proposes a digital circuit design for the logistic-map module used in chaotic stream ciphers, analyzes the factors that may affect the output of the sequences, and develops a calculation method for estimating the output sequential correlative peak interval. With the respective tests using different initial values, the values of parameter u and the computational precisions, extensive experiments   have   been   carried   out.   A   formula   for calculating correlative peak interval is proposed. Moreover, the relationships among precision, parameter u and correlative peak interval is provided. To ensure the security of the plaintext which is encrypted by the output sequence of the logistic-map, a proper precision could be chosen according to the formula. It provides a theoretic basis for the actual application of the chaos cryptology. The basic theory and methods have a significant implication on the statistical analysis and practical applications of the digital chaotic sequences. A diagram that presents the relationship among precision, parameter u and correlative peak interval has been generated for analysis.
  • 关键词:discrete chaotic systems, correlative peak interval, finite precision, encryption
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