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Article
Classic cryptanalysis using hidden Markov models
Cryptologia (2017)
  • Mark Stamp, San Jose State University
Abstract
In this article, the authors present a detailed introduction to hidden Markov models (HMM). They then apply HMMs to the problem of solving simple substitution ciphers, and they empirically determine the accuracy as a function of the ciphertext length and the number of random restarts. Application to homophonic substitutions and other classic ciphers is briefly considered.
Keywords
  • cryptanalysis,
  • hidden Markov models,
  • Jakobsen’s algorithm,
  • Purple cipher,
  • simple substitution
Disciplines
Publication Date
2017
DOI
10.1080/01611194.2015.1126660
Publisher Statement
SJSU Users: use the following link to login and access the article via SJSU databases.
Citation Information
Mark Stamp. "Classic cryptanalysis using hidden Markov models" Cryptologia Vol. 41 Iss. 1 (2017) p. 1 - 28 ISSN: 0161-1194
Available at: http://works.bepress.com/mark_stamp/32/