摘要
跨域数据交换在支持不同规模的数据交换需求时,须随着业务的发展和数据量的增长而进行相应扩展和升级,导致数据交换开销及泄漏程度增加。对此,提出基于改进生成对抗网络的网络可信数据跨域交换方法。利用改进生成对抗网络进行网络数据校正,去除无价值信息,保证在可信数据交换过程中减少空间资浪的费源;基于修正后的网络数据进行可信度计算,以降低数据安全风险;对网络可信数据进行加密并存储,保证数据在交换过程中不被篡改,实现高性能的网络可信数据跨域交换。实验结果显示,所提方法的空间开销最高仅为3 MB,数据泄露比最高仅为1.33%,数据交换吞吐量最高为46.1 bps,表明所提方法在数据跨域交换中具有较好的应用性能。
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 generative adversarial network is proposed.The improved generative adversarial network is used to correct the network data,remove 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 encrypted 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.
作者
董婕
DONG Jie(Industrial Internet College,Guangxi Vocational&Technical Institute of Industry,Nanning 530001,China;School of Computer,Electronics and Information,Guangxi University,Nanning 530004,China)
出处
《微型电脑应用》
2025年第3期239-242,250,共5页
Microcomputer Applications
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
data sharing
improve generative adversarial network
trusted data
cross domain data exchange
credibility
