期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2012
卷号：12
期号：12
页码：149-152
出版社：International Journal of Computer Science and Network Security
摘要：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).
关键词：Key Generation; Stream Cipher; Genetic algorithm; Tree parity machine
