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Genetic Algorithms Evolving Quasigroups with Good Pseudorandom Properties

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Computational Science and Its Applications – ICCSA 2010 (ICCSA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6018))

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Abstract

Quasigroups are a well-known combinatorial design equivalent to more familiar Latin squares. Because all possible elements of a quasigroup occur with equal probability, it makes it an interesting tool for the application in computer security and for production of pseudorandom sequences. Prior implementations of quasigroups were based on look-up table of the quasigroup, on system of distinct representatives etc. Such representations are infeasible for large quasigroups. In contrast, presented analytic quasigroup can be implemented easily. It allows the generation of pseudorandom sequences without storing large amount of data (look-up table). The concept of isotopy enables consideration of many quasigroups and genetic algorithms allow efficient search for good ones.

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References

  1. Knuth, D.E.: The art of computer programming. In: Seminumerical Algorithms, 3rd edn., vol. 2, Addison-Wesley/Longman Publishing Co., Inc. (1997)

    Google Scholar 

  2. Marsaglia, G., Tsang, W.W.: Some Difficult-to-pass Tests of Randomness. Journal of Statistical Software 7(i03)

    Google Scholar 

  3. Markovski, S.: Quasigroup String Processing and Applications in Cryptography. In: Proceedings 1st Conference of Mathematics and Informatics for Industry, Thessaloniki, Greece, pp. 278–290 (2003)

    Google Scholar 

  4. Dimitrova, V., Markovski, J.: On quasigroup pseudo random sequence generator. In: Manolopoulos, Y., Spirakis, P. (eds.) Proc. of the 1-st Balkan Conference in Informatics, Thessaloniki, November 2004, pp. 393–401 (2004)

    Google Scholar 

  5. Bäck, T., Hammel, U., Schwefel, H.-P.: Evolutionary computation: comments on the history and current state. IEEE Transactions on Evolutionary Computation 1, 3–17 (1997)

    Article  Google Scholar 

  6. Belousov, V.D.: Osnovi teorii kvazigrup i lup, Nauka, Moscow (1967) (in Russian)

    Google Scholar 

  7. Bodenhofer, U.: Genetic Algorithms: Theory and Applications. Lecture Notes, Fuzzy Logic Laboratorium Linz-Hagenberg (Winter 2003/2004)

    Google Scholar 

  8. Dianati, M., Song, I., Treiber, M.: An introduction to genetic algorithms and evolution strategies, technical report, University of Waterloo, Ontario, N2L 3G1, Canada (July 2002)

    Google Scholar 

  9. Dénes, J., Keedwell, A.: Latin Squares and their Applications. In: Akadémiai Kiadó, Budapest. Academic Press, New York (1974)

    Google Scholar 

  10. Dénes, J., Keedwell, A.: A new authentication scheme based on Latin squares. Discrete Mathematics (106/107), 157–161 (1992)

    Google Scholar 

  11. Dvorský, J., Ochodková, E., Snášel, V.: Hash Functions Based on Large Quasigroups. In: Proceedings of Velikonoční kryptologie, Brno, pp. 1–8 (2002)

    Google Scholar 

  12. Hilewitz, Y., Shi, Z.J., Lee, R.B.: Comparing fast implementations of bit permutation instructions. In: Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, USA, November 2004, pp. 1856–1863 (2004)

    Google Scholar 

  13. Gligoroski, D., et al.: EdonR cryptographic hash function. Submition to NIST’s SHA-3 hash function competition (2008), http://csrc.nist.gov/groups/ST/hash/sha-3/index.html

  14. Gligoroski, D., Markovski, S., Kocarev, L., Svein, J.: The Stream Cipher Edon80. In: Robshaw, M.J.B., Billet, O. (eds.) New Stream Cipher Designs. LNCS, vol. 4986, pp. 152–169. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  15. Snášel, V., Abraham, A., Dvorský, J., Krömer, P., Platoš, J.: Hash functions based on large quasigroups. In: Allen, G., Nabrzyski, J., Seidel, E., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds.) ICCS 2009, Part I. LNCS, vol. 5544, pp. 521–529. Springer, Heidelberg (2009)

    Google Scholar 

  16. Jones, G.: Genetic and evolutionary algorithms. In: von Rague, P. (ed.) Encyclopedia of Computational Chemistry. John Wiley and Sons, Chichester (1998)

    Google Scholar 

  17. Knapskog, S.J.: New cryptographic primitives. In: CISIM 2008: Proceedings of the 2008 7th Computer Information Systems and Industrial Management Applications, pp. 3–7. IEEE Computer Society, Washington (2008)

    Chapter  Google Scholar 

  18. Koza, J.: Genetic programming: A paradigm for genetically breeding populations of computer programs to solve problems. Technical Report STAN-CS-90-1314, Dept. of Computer Science, Stanford University (1990)

    Google Scholar 

  19. McKay, B.D., Wanless, I.M.: On the Number of Latin Squares. Journal Annals of Combinatorics 9(3), 335–344 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  20. Merkle, R.C.: Secrecy, authentication, and public key systems. Stanford Ph.D. thesis, pp. 13-15 (1979), http://www.merkle.com/papers/Thesis1979.pdf

  21. Mitchell, M.: An Introduction to Genetic Algorithms. MIT Press, Cambridge (1996)

    Google Scholar 

  22. Ochodková, E., Snášel, V.: Using Quasigroups for Secure Encoding of File System. In: Proceedings of the International Scientific NATO PfP/PWP Conference Security and Information Protection 2001, Brno, Czech Republic, May 9-11, pp. 175–181 (2001)

    Google Scholar 

  23. Smith, J.D.H.: An introduction to quasigroups and their representations. Chapman & Hall/CRC (2007)

    Google Scholar 

  24. Snyder, L.V., Daskin, M.S.: A random-key genetic algorithm for the generalized traveling salesman problem. European Journal of Operational Research 174(1), 38–53 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  25. Vojvoda, M.: Cryptanalysis of One Hash Function Based on quasigroup. In: Conference Mikulášská kryptobesídka, Praha, pp. 23–28 (2003)

    Google Scholar 

  26. TREC Web Corpus: GOV (2009), http://ir.dcs.gla.ac.uk/test_collections/govinfo.html

  27. Snášel, V., Abraham, A., Dvorský, J., Ochodková, E., Platoš, J., Krömer, P.: Searching for Quasigroups for Hash Functions with Genetic Algorithms. In: Proceedings of the 2009 World Congress on Nature & Biologically Inspired Computing, pp. 367–372. IEEE Computer Society, Los Alamitos (2009)

    Google Scholar 

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Snášel, V., Dvorský, J., Ochodková, E., Krömer, P., Platoš, J., Abraham, A. (2010). Genetic Algorithms Evolving Quasigroups with Good Pseudorandom Properties. In: Taniar, D., Gervasi, O., Murgante, B., Pardede, E., Apduhan, B.O. (eds) Computational Science and Its Applications – ICCSA 2010. ICCSA 2010. Lecture Notes in Computer Science, vol 6018. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12179-1_39

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  • DOI: https://doi.org/10.1007/978-3-642-12179-1_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12178-4

  • Online ISBN: 978-3-642-12179-1

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