Cryptanalysis using genetic algorithms

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Cryptanalysis using genetic algorithms

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Genetic And Evolutionary Computation Conference archive
Proceedings of the 10th annual conference on Genetic and evolutionary computation table of contents

Atlanta, GA, USA

POSTER SESSION: Genetic algorithms posters table of contents

Pages 1099-1100

Year of Publication: 2008

ISBN:978-1-60558-130-9

Authors

Karel P. Bergmann	University of Calgary, Calgary, AB, Canada
Renate Scheidler	University of Calgary, Calgary, AB, Canada
Christian Jacob	University of Calgary, Calgary, AB, Canada

Sponsors

ACM: Association for Computing Machinery
SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation

Publisher

ACM New York, NY, USA

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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

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	K. P. Bergmann, Cryptanalysis Using Nature-Inspired Optimization Algorithms, University of Calgary, 2006, Technical Report 2008-894-07.
	2	B. Delman, Genetic Algorithms in Cryptography, Rochester Institute of Technology, 2004
	3	National Institute of Standards and Technology, FIPS Publication 46: Announcing the Data Encryption Standard. FIPS, Jan. 1977
	4	National Institute of Standards and Technology, FIPS Publication 197: Announcing the Advanced Encryption Standard (AES). FIPS, Nov. 2001
	5	W. Friedman, The Index of Coincidence and Its Applications in Cryptography. Riverbank Labs, 1920
	6	John H. Holland, Adaptation in natural and artificial systems, MIT Press, Cambridge, MA, 1992
	7	Alfred J. Menezes , Scott A. Vanstone , Paul C. Van Oorschot, Handbook of Applied Cryptography, CRC Press, Inc., Boca Raton, FL, 1996