{"title":"Evolutionary genetic algorithm for encryption","authors":"W. Alsharafat","doi":"10.1109/ICCIC.2014.7238559","DOIUrl":null,"url":null,"abstract":"Encryption is a fundamental mechanism for protecting information since the significant of security is increasing nowadays. Different evolutionary methods have been adapted to satisfy high level of security. Genetic algorithm is an exploration and evolutionary algorithm which based on natural selection which optimizing problem solution and to be away from producing one ciphertext for the same plaintext. Therefore, the attempts of attack, as ciphertext attack, will be reduced if not eliminated. In this paper, GA as evolutionary algorithm will be employed in a symmetric encryption and decryption where the user's message which represents plaintext and user secret data, key, will be transferred into ciphertext by applying crossover and mutation beside substitution function.","PeriodicalId":187874,"journal":{"name":"2014 IEEE International Conference on Computational Intelligence and Computing Research","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Computational Intelligence and Computing Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIC.2014.7238559","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Encryption is a fundamental mechanism for protecting information since the significant of security is increasing nowadays. Different evolutionary methods have been adapted to satisfy high level of security. Genetic algorithm is an exploration and evolutionary algorithm which based on natural selection which optimizing problem solution and to be away from producing one ciphertext for the same plaintext. Therefore, the attempts of attack, as ciphertext attack, will be reduced if not eliminated. In this paper, GA as evolutionary algorithm will be employed in a symmetric encryption and decryption where the user's message which represents plaintext and user secret data, key, will be transferred into ciphertext by applying crossover and mutation beside substitution function.