Research on network data encryption system based on improved GANs algorithm

被引:0
|
作者
Liu Y. [1 ]
机构
[1] Information Technology Department, Shaanxi Police College, Shaanxi Province, Xi’an
关键词
data transmission; GANs; network data encryption; neural network; select ciphertext attack;
D O I
10.1504/IJWMC.2023.132424
中图分类号
学科分类号
摘要
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. Copyright © 2023 Inderscience Enterprises Ltd.
引用
收藏
页码:68 / 75
页数:7
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