DocumentCode :
3579355
Title :
Evolutionary genetic algorithm for encryption
Author :
Alsharafat, Wafa´ Slaibi
Author_Institution :
Prince Hussein Bin Abdullah Faculty of Information Technology, Information Systems Department, Al al-Bayt University Mafraq, Jordan
fYear :
2014
Firstpage :
1
Lastpage :
4
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.
Keywords :
Artificial neural networks; Encryption; Evolutionary computation; Fuzzy logic; Genetic algorithms; Decryption; Encryption; GA;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
Print_ISBN :
978-1-4799-3974-9
Type :
conf
DOI :
10.1109/ICCIC.2014.7238559
Filename :
7238559
Link To Document :
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