期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2017
卷号：95
期号：11
出版社：Journal of Theoretical and Applied
摘要：The extensive use of digital information storage and transfer over communication channels nowadays have raised tremendous hazards. Basically, it has exposed the information confidentiality, integrity, authenticity, copyright, and ownership protection to the danger of being breached. Of the most important concerns is the security of digital images, hence they either be protected by the embedding of watermarks if they are to be publicly visible or by converting them into an unintelligible cipher form. This conversion can be achieved by many existing encryption algorithms with proper secret keys, however, due to the increased computation efficiency, new and stronger algorithms are continually sought. In this paper, a novel image encryption scheme that is based Genetic Algorithms is developed and implemented to convert the image into cipher-image. This approach is made possible by exploiting the Genetic Algorithm (GA) properties, namely crossover and mutation that fulfill Shannon�s principle of information diffusion and confusion. Obtained experimental results of the proposed scheme has succeeded in protecting digital images against noise and attacks, and is promising as compared with currently used standard cryptographic algorithms, such as Data Encryption Standards (DES) and Advanced Encryption Standard (AES).
关键词：Image security; Genetic Algorithm; Secret key cryptosystems; Crossover; and Mutation
