微型电脑应用2025,Vol.41Issue(3):239-242,250,5.
基于改进生成对抗网络的网络可信数据跨域交换研究
Research on Cross Domain Exchange of Network Trusted Data Based on Improved Generative Adversarial Network
董婕1
作者信息
- 1. 广西工业职业技术学院,工业互联网学院,广西,南宁 530001||广西大学,计算机与电子信息学院,广西,南宁 530004
- 折叠
摘要
Abstract
When cross domain data exchange supports data exchange requirements of different scales,it needs to be expanded and upgraded with the development of business and the growth of data volume,resulting in the increase of exchange overhead and leakage degree of the data.In this regard,a cross domain exchange method of network trusted data based on improved gen-erative adversarial network is proposed.The improved generative adversarial network is used to correct the network data,re-move the worthless information,and ensure to reduce the cost of space resources in the process of trusted data exchange.Based on the modified network data,the credibility is calculated to reduce the data security risk.The network trusted data is encrypt-ed and stored to ensure that the data is not tampered with in the process of exchange,so as to realize the high-performance cross domain exchange of network trusted data.Experimental results show that the maximum space overhead of the proposed method is only 3 MB,the maximum data leakage ratio is only 1.33%,and the maximum data exchange throughput is 46.1 bps,indicating that the proposed method has good application performance in data cross domain exchange.关键词
数据共享/改进生成对抗网络/可信数据/数据跨域交换/可信度Key words
data sharing/improve generative adversarial network/trusted data/cross domain data exchange/credibility分类
信息技术与安全科学引用本文复制引用
董婕..基于改进生成对抗网络的网络可信数据跨域交换研究[J].微型电脑应用,2025,41(3):239-242,250,5.