文章基本信息

标题：Encryption and Decryption Using Genetic Algorithm Operations and Pseudorandom Number
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作者：P Srikanth ; Abhinav Mehta ; Neha Yadav 等
期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2017
卷号：6
期号：3
页码：455-459
出版社：IJCSN publisher
摘要：Data security is crucial for almost all businesses and home computer users. Client information, payment information, personal files, bank account details etc. are very important and hard to replace. It is potentially dangerous and can grow into a threat if it falls in the wrong hands; to protect the data encryption is one of the most widely used techniques. This paper deals with the integrity and confidentiality of data, which is transmitted through different mediums. Genetic algorithms (GAs) have many functions, in this paper we use the genetic algorithm operation such as crossover and mutation functions, genetic algorithm concepts with pseudorandom function are being used to encrypt and decrypt data. The encryption process is applied over a binary file therefore the algorithm can be applied over any type of data.
关键词：Security; Integrity; Confidentiality; Crossover; Mutation; Pseudorandom Sequence