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  • 标题:Genetic Algorithm Based Image Cryptography to Enhance Security
  • 本地全文:下载
  • 作者:Rakhi Choudhary ; Prof. Pawanesh Abrol
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2017
  • 卷号:6
  • 期号:6
  • 页码:873-878
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:In today’s digital world security, integrity, confidentiality of the organization’s data is the main concern. In this study, a new approach for enhancing the security of images using the concept of a new genetic algorithms (GA) is used to output new method of encryption by means of crossover and mutation operation of genetic algorithm. The proposed encryption method in this study is tested on various images which differ in size and type, and effort has been made to improve the efficiency which has shown positive result. Image encryption is widely used to ensure security of the data. Many image related problems can be solved using genetic algorithms through modelling a simplified version of genetic processes. This paper proposed a method based on Genetic Algorithm which is used to generate key by the help of random number generator. Key generation will go through a number of steps to increase the complexity of key. In our approach we have implemented genetic algorithms with bits flipping to encrypt and decrypt data stream. The encryption process is applied over a binary file so that the algorithm can be applied over any type of image. This paper deals with the implementation of GA in MATLAB. A MATLAB code is developed for encryption and decryption of image using cipher. In this study,GA is implemented at keys as well as image level for enhancing the security of image.
  • 关键词:Encryption; Decryption; Image; Genetic algorithm; Crossover; mutation
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