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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 5    
Website: http://www.ijser.org
scirp IJSER >> Volume 2, Issue 5, May 2011 Edition
A New Approach For Data Encryption Using Genetic Algorithms And Brain Mu Waves
Full Text(PDF, 3000)  PP.  
Author(s)
Gove Nitinkumar Rajendra, Bedi Rajneeshkaur
KEYWORDS
Mu waves, Genetic algorithms, Pseudorandom binary sequence, Encryption, Crossover operator, Data security, Confidentiality.
ABSTRACT
In today’s computer world security, integrity, confidentiality of the organization’s data is the most important issue. This paper deals with the confidentiality of the data that organization manages and works with. This paper proposes a new approach to data security using the concept of genetic algorithm and brain mu waves with pseudorandom binary sequence to encrypt and decrypt the data. The feature of such an approach includes high data security and high feasibility for practical implementation.
References
[1] Douglas, R. Stinson, “Cryptography - Theory and Practice”, CRC Press, 1995. [6] Goldberg D.E., “Genetic algorithms in search optimization & Machine learning”, Addison- Wesley, 1989.

[2] Menzes A. J., Paul, C., Van Dorschot, V., anstone, S. A., “Handbook of Applied Cryptography”, CRS pess 5th Printing; 2001.

[3] Ahmad A., Al-Musharafi M. J., Al-Busaidi S., Al-Naamany A., and Jervase J. A., “An NLFSR Based Sequence Generation for Stream Ciphers”, Proceedings of International Conference on Sequences and their Applications, pp. 11-12, 2001.

[4] Tragha A., Omary F., and A. Kriouile, “Genetic Algorithms Inspired Cryptography” A.M.S.E Association for the Advancement of Modeling & Simulation Techniques in Enterprises, Series D: Computer Science and Statistics, 2005.

[5] Tragha A., Omary F., Mouloudi A.,”ICIGA: Improved Cryptography Inspired by Genetic Algorithms”, Proceedings of the International Conference on Hybrid Information Technology (ICHIT'06), pp. 335-341, 2006.

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