首页    期刊浏览 2024年09月20日 星期五
登录注册

文章基本信息

  • 标题:An Efficient PRBG Based on Chaotic Map and Engel Continued Fractions
  • 本地全文:下载
  • 作者:Atef Masmoudi ; William Puech ; Mohamed Salim Bouhlel
  • 期刊名称:Journal of Software Engineering and Applications
  • 印刷版ISSN:1945-3116
  • 电子版ISSN:1945-3124
  • 出版年度:2010
  • 卷号:3
  • 期号:12
  • 页码:1141-1147
  • DOI:10.4236/jsea.2010.312133
  • 出版社:Scientific Research Publishing
  • 摘要:In recent years, a variety of chaos-based cryptosystems have been proposed. Some of these systems are used in designing a pseudo random bit generator (PRBG) for stream cipher applications. Most of the chaotic systems used in cryptography have good chaotic properties like ergodicity, sensitivity to initial values and sensitivity to control parameters. However, some of them are not very suitable for use in cryptography because of their non-uniform density function, and their relatively small key space. To be used in cryptography, a PRBG may need to meet stronger requirements than for other applications. In particular, various statistical tests can be applied to the outputs of such generators to conclude whether the generator produces a truly random sequence or not. In this paper, we propose a PRBG based on the use of the standard chaotic map with large key space and the Engle Continued Fractions (ECF) map. The outputs of the standard map are used as the inputs of ECF-map. The chaotic nature of the standard map and the good statistical properties of the ECF map motivate us to design a new PRBG for stream cipher applications. The numerical simulation analysis indicates that our PRBG produces bit sequences possessing excellent statistical and cryptographic properties.
  • 关键词:Cryptography; Continued Fraction; Statistical Tests; PRBG; Chaotic Map
国家哲学社会科学文献中心版权所有