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Publication Type : Journal Article
Publisher : IJCSNS International Journal of Computer Science and Network Security
Source : IJCSNS International Journal of Computer Science and Network Security, Volume 12, Number 12, p.149–152 (2012)
Url : http://paper.ijcsns.org/07_book/201212/20121223.pdf
Campus : Bengaluru
School : School of Engineering
Department : Computer Science
Verified : Yes
Year : 2012
Abstract : In cryptography, encryption is the process of transforming information referred to as plaintext using an algorithm (called a cipher) to make it unreadable to anyone except those possessing special knowledge, usually referred to as a key. The result of the process is information which is, referred to as ciphertext. Stream ciphers are used to encrypt individual bits. This is achieved by adding a bit from a key stream to a plaintext bit.Generating the key stream is the therefore important. In this paper a soft computing based approach is proposed for generating keys to design a stream cipher for text encryption. Optimal weights for the sender and receiver used for the synchronization on the Tree Parity Machine(TPM) neural network, are generated using a Genetic Algorithm(GA)
Cite this Research Publication : S. Santhanalakshmi, Sangeeta, K., and Patra, G. K., “Design of Stream cipher for text encryption using soft computing based techniques”, IJCSNS International Journal of Computer Science and Network Security, vol. 12, pp. 149–152, 2012.