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A New Hybrid Encryption Approach for Secure Communication: GenComPass

机译:一种新的安全通信混合加密方法:Gencompass

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When looking at the daily life flow and working sectors, it is seen that almost all work and transactions are carried out electronically. It performs many data streams in the electronic transactions performed. The importance of information security is exactly at this point. To ensure the security of the data, the journey of the data between the sender and the receiver is encrypted. In this study, a hybrid application that creates encrypted text using genetic algorithm and particle swarm algorithm has been developed. In the first step of the study, two separate keys were generated to encode the message using the genetic algorithm and particle swarm algorithm. Shannon Entropy method was used as a fitness function in both algorithms. The message was encrypted with the genetic algorithm method by choosing the key that obtained the best result from the compliance function. The encrypted message was decoded by applying a reverse genetic algorithm to the recipient. The encryptions made using the generated key were measured and the results of the AES algorithm were compared. In the proposed model, successful performances were obtained as the maximum switching space and encryption time for encryption. As a result, the proposed application offers an alternative method of data encryption and decryption that can be used for message transmission.
机译:在查看日常生活流程和工作部门时,可以看到几乎所有的工作和交易都是电子方式进行的。它在执行的电子事务中执行许多数据流。信息安全的重要性正好正确。为确保数据的安全性,发送方和接收器之间的数据的旅程被加密。在本研究中,已经开发了使用遗传算法和粒子群算法创建加密文本的混合应用程序。在研究的第一步中,生成了两个单独的键以使用遗传算法和粒子群算法对消息进行编码。 Shannon熵方法用作两种算法中的健身功能。通过选择从合规功能获得最佳结果的密钥,通过遗传算法方法对消息进行加密。通过将反向遗传算法应用于收件人来解码加密消息。测量使用生成的密钥进行的加密,并进行了AES算法的结果。在所提出的模型中,获得了成功的性能作为加密的最大切换空间和加密时间。结果,所提出的应用程序提供了可以用于消息传输的数据加密和解密方法。

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