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Cryptanalysis using genetic algorithms

Authors:

Karel P. Bergmann,

Renate Scheidler,

Christian JacobAuthors Info & Claims

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

Pages 1099 - 1100

https://doi.org/10.1145/1389095.1389297

Published: 12 July 2008 Publication History

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Abstract

Genetic algorithms were used for the cryptanalysis of a number of classical cryptosystems. The results of applying a number of GA implementations to various ciphers are presented. The selection of appropriate mutation operators and fitness functions is also discussed.

References

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Cited By

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Jain ABansal SDas NGupta S(2024)Red deer algorithm to detect the secret key of the monoalphabetic cryptosystemSoft Computing10.1007/s00500-024-09849-y28:17-18(10569-10582)Online publication date: 5-Aug-2024
https://doi.org/10.1007/s00500-024-09849-y
Sadkhan S(2021)A Proposed Genetic Algorithm Attack for Public Key Cryptosystem2021 7th International Engineering Conference “Research & Innovation amid Global Pandemic" (IEC)10.1109/IEC52205.2021.9476146(194-199)Online publication date: 24-Feb-2021
https://doi.org/10.1109/IEC52205.2021.9476146
K. G. SG. M. SHiriyannaiah SMorappanavar ABanerjee A(2020)A Novel Approach of Symmetric Key Cryptography using Genetic Algorithm Implemented on GPGPUCryptography10.4018/978-1-7998-1763-5.ch012(193-213)Online publication date: 2020
https://doi.org/10.4018/978-1-7998-1763-5.ch012
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Index Terms

Cryptanalysis using genetic algorithms
1. Computing methodologies
  1. Artificial intelligence
    1. Search methodologies
      1. Heuristic function construction

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Published In

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

July 2008

1814 pages

ISBN:9781605581309

DOI:10.1145/1389095

Conference Chair:
Conor Ryan
University of Limerick, Ireland
,
Editor:
Maarten Keijzer
Chordiant Software International B.V., The Netherlands

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 July 2008

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GECCO08

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GECCO08: Genetic and Evolutionary Computation Conference

July 12 - 16, 2008

GA, Atlanta, USA

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Jain ABansal SDas NGupta S(2024)Red deer algorithm to detect the secret key of the monoalphabetic cryptosystemSoft Computing10.1007/s00500-024-09849-y28:17-18(10569-10582)Online publication date: 5-Aug-2024
https://doi.org/10.1007/s00500-024-09849-y
Sadkhan S(2021)A Proposed Genetic Algorithm Attack for Public Key Cryptosystem2021 7th International Engineering Conference “Research & Innovation amid Global Pandemic" (IEC)10.1109/IEC52205.2021.9476146(194-199)Online publication date: 24-Feb-2021
https://doi.org/10.1109/IEC52205.2021.9476146
K. G. SG. M. SHiriyannaiah SMorappanavar ABanerjee A(2020)A Novel Approach of Symmetric Key Cryptography using Genetic Algorithm Implemented on GPGPUCryptography10.4018/978-1-7998-1763-5.ch012(193-213)Online publication date: 2020
https://doi.org/10.4018/978-1-7998-1763-5.ch012
Yoon JDeBiase M(2018)Real-Time Analysis of Big Network Packet Streams by Learning the Likelihood of Trusted SequencesBig Data – BigData 201810.1007/978-3-319-94301-5_4(43-56)Online publication date: 21-Jun-2018
https://doi.org/10.1007/978-3-319-94301-5_4
K. G. SG. M. SHiriyannaiah SMorappanavar ABanerjee A(2016)A Novel Approach of Symmetric Key Cryptography using Genetic Algorithm Implemented on GPGPUEmerging Research Surrounding Power Consumption and Performance Issues in Utility Computing10.4018/978-1-4666-8853-7.ch014(283-303)Online publication date: 2016
https://doi.org/10.4018/978-1-4666-8853-7.ch014
Al-Kazaz NIrvine STeahan W(2016)An Automatic Cryptanalysis of Transposition Ciphers Using CompressionCryptology and Network Security10.1007/978-3-319-48965-0_3(36-52)Online publication date: 28-Oct-2016
https://doi.org/10.1007/978-3-319-48965-0_3
Raghuvamshi ARao P(2011)An Effortless Cryptanalytic Attack on Knapsack Cipher2011 International Conference on Process Automation, Control and Computing10.1109/PACC.2011.5979040(1-6)Online publication date: Jul-2011
https://doi.org/10.1109/PACC.2011.5979040
Mesleh AZahran BAl-Abadi AHamed SAl-Zabin NBargouthi HMaharmeh I(2010)Genetic CryptanalysisNetworked Digital Technologies10.1007/978-3-642-14292-5_34(321-332)Online publication date: 2010
https://doi.org/10.1007/978-3-642-14292-5_34

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Cryptanalysis of two-round DES using genetic algorithms

Neural network crossover in genetic algorithms using genetic programming

Using messy genetic algorithms for solving the winner determination problem

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