Title: Research on network data encryption system based on improved GANs algorithm

Authors: Yi Liu

Addresses: Information Technology Department, Shaanxi Police College, Xi'an, Shaanxi Province, China

Abstract: With the continuous development of China's internet industry, all social parties have higher and higher requirements for the security of data transmitted on the internet. Based on the data encryption system of GANs (generic advantageous networks), this research designs an improved data encryption system of GANs network by adjusting the attacker's attack mode to selective ciphertext attack, and adding a numerical conversion operator for XOR operation. The simulation results show that the average decryption error rate of B network of the improved GANs encryption system is 0.04%, which is significantly lower than that of the other three compared encryption systems. In the training results of e-network, the average classification error rate of the improved GANs encryption system is 49.98%. The data show that the information transmission security of the improved GANs network data encryption system proposed in this study is higher than that of the improved system.

Keywords: GANs; network data encryption; select ciphertext attack; neural network; data transmission.

DOI: 10.1504/IJWMC.2023.132424

International Journal of Wireless and Mobile Computing, 2023 Vol.25 No.1, pp.68 - 75

Received: 07 May 2022
Received in revised form: 05 Jan 2023
Accepted: 29 Jan 2023
Published online: 19 Jul 2023 *

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