Metaheuristic Search as a Cryptological Tool

Research output: ThesisDoctoral Thesis


Cryptology is a thriving research area of great practical importance. It is a fundamental building block of communications security. Metaheuristic optimisation
techniques such as simulated annealing and genetic algorithms have found successful application in a huge number of fields. However, their application to leading edge industrial-strength cryptology has been slight. The power of metaheuristic search is, however, greatly under-estimated. The research reported here shows how a range of modern-day cryptological problems can be attacked successfully using metaheuristic search. Along the way, the work provides the cryptological researcher with many new approaches to applying metaheuristic search techniques.
Original languageEnglish
Awarding Institution
  • University of York
  • Jacob, Jeremy Lawrence, Supervisor
Award date10 Jul 2002
Publication statusPublished - 2002

Bibliographical note

This was finally submitted in December 2001 after minor corrections, with PhD conferred in the July 2002 ceremony.


  • Metaheuristic Search
  • Authentication Protocols
  • Cryptanalysis
  • Simulated Annealing
  • Genetic Algorithms

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