Title: Research on an optimised encryption algorithm for network information security communication

Authors: Ju Li

Addresses: Chongqing Technology and Business Institute, Chongqing 401520, China

Abstract: At present, one of the commonly used encryption algorithms is the block cipher AES method, while in the design, we often only consider the bounded attack opponent, but in the face of the needs of the development of artificial intelligence, it is difficult to meet the secure communication of network information. This time, an optimised and improved GANs encryption algorithm based on neural network is proposed. The encryption algorithm can improve the objective function and learning model, so as to achieve better algorithm security performance. Through simulation analysis, it can also be seen that with the increase of training times, the neural network training effect of Bob, Alice and Eve is better. The proposed optimisation algorithm can realise face generation in the case of non-artificial knowledge, which has significant advantages compared with the traditional encryption algorithm.

Keywords: network information; safety; encryption algorithm; GANs model; neural network.

DOI: 10.1504/IJCNDS.2023.127474

International Journal of Communication Networks and Distributed Systems, 2023 Vol.29 No.1, pp.31 - 46

Received: 05 Nov 2021
Accepted: 14 Dec 2021
Published online: 06 Dec 2022 *