A chaos-based hash function with both modification detection and localization capabilities

Di Xiao, Frank Y. Shih, Xiaofeng Liao

Research output: Contribution to journalArticlepeer-review

58 Scopus citations

Abstract

Recently, a variety of chaos-based hash functions have been proposed. Nevertheless, none of them can realize modification localization. In this paper, a hash function with both modification detection and localization capabilities is proposed, which can also support the parallel processing mode. By using the mechanism of changeable-parameter and self-synchronization, the keystream can establish a close relation with the algorithm key, the content, and the order of each message unit. Theoretical analysis and computer simulation indicate that the proposed algorithm can satisfy the performance requirements of hash functions.

Original languageEnglish (US)
Pages (from-to)2254-2261
Number of pages8
JournalCommunications in Nonlinear Science and Numerical Simulation
Volume15
Issue number9
DOIs
StatePublished - Sep 2010

All Science Journal Classification (ASJC) codes

  • Numerical Analysis
  • Modeling and Simulation
  • Applied Mathematics

Keywords

  • Chaos
  • Hash function
  • Modification detection and localization
  • Parallel

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