文章基本信息

标题：Using Genetic Algorithm for Symmetric key Generation in Image Encryption
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作者：Aarti Soni ; Suyash Agrawal
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2012
卷号：1
期号：10
页码：137-140
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Cryptography is essential for protecting information as the importance of security is increasing day by day with the advent of online transaction processing and e commerce. In now a day the security of digital images attracts much attention, especially when these digital images are stored in memory or send through the communication networks. Genetic algorithms are a class of optimization algorithms. Many problems can be solved using genetic algorithms through modelling a simplified version of genetic processes. In this paper, I proposed a method based on Genetic Algorithm which is used to generate key by the help of pseudo random number generator. Random number will be generated on the basis of current time of the system. Using Genetic Algorithm we can keep the strength of the key to be good, still make the whole algorithm good enough. Symmetric key algorithm AES has been proposed for encrypting the image as it is very secure method for symmetric key encryption.
关键词：Cryptography; Genetic Algorithm; ; Pseudo random Number Generators; Symmetric Key ; Cryptography.