Cryptanalysis of Transposition Cipher Using Simulated Annealing Genetic Algorithm

  • Authors:
  • Jun Song;Fan Yang;Maocai Wang;Huanguo Zhang

  • Affiliations:
  • Computer School, China University of Geosciences, Wuhan, China 430074 and Computer School, Wuhan University, Wuhan, China 430079;Computer School, China University of Geosciences, Wuhan, China 430074 and Computer School, Wuhan University, Wuhan, China 430079;Computer School, China University of Geosciences, Wuhan, China 430074;Computer School, Wuhan University, Wuhan, China 430079

  • Venue:
  • ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

The cryptanalysis technology adopting intelligent computing is the combination of intelligent computing and cryptography. Cryptanalysis of the transposition cipher with evolutionary algorithm has attracted much interest in recent years. This paper presents the automatic analysis and exploration on a typical transposition cipher, based on improved fitness evaluation weight mode and using SAGA method. Compared with the earlier experimental results of the GA/TS/SA methods adopted, the attack against transposition ciphers using improved SAGA can achieve comparatively better results on the amount of key recovery.