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云计算环境下的数据隐私保护传输方法 被引量:1

Data Privacy Protection Transmission Method in Cloud Computing Environment
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摘要 为了提升数据隐私保护传输的安全性与可靠性,保证数据传输的质量与效率,降低数据传输丢包率,在当前云计算环境下,开展了数据隐私保护传输方法的全方位深入研究。首先,利用云计算的数据变换处理技术,消除数据中的部分隐私信息,设定公钥与私钥,进行数据非对称加密处理。其次,设定互联网的传输源节点与目标节点,建立节点矩阵,查找并确定数据隐私保护传输可信路径。最后,设计身份认证模式,全方位保证数据隐私保护传输的安全。实验分析结果表明,提出的传输方法应用后,即使传输数据量增加,数据传输丢包率最大也不超过1%,应用效果优势显著。 In order to improve the security and reliability of data privacy protection transmission,maximize the quality and efficiency of data transmission,and reduce the packet loss rate of data transmission,a comprehensive and in-depth research on data privacy protection transmission methods has been carried out in the current cloud computing environment.Firstly,using the data transformation processing technology of cloud computing to eliminate some private information in the data,setting public and private keys for asymmetric encryption of the data.Secondly,set the transmission source and target nodes of the Internet,establish a node matrix,and find and determine the trusted path for data privacy protection transmission.On this basis,design an identity authentication mode to ensure the security of data privacy protection and transmission in all aspects.The experimental analysis results show that after the application of the proposed transmission method,the maximum packet loss rate of data transmission does not exceed 1%as the amount of transmitted data gradually increases,and the application effect advantage is significant.
作者 黄建斌 杨冠峰 张朋 贾国防 HUANG Jianbin;YANG Guanfeng;ZHANG Peng;JIA Guofang(Southern Power Grid Digital Platform Technology(Guangdong)Co.,Ltd.,Guangzhou Guangdong 518000,China)
出处 《信息与电脑》 2023年第19期184-186,共3页 Information & Computer
关键词 云计算 数据变换处理 隐私信息 数据加密 传输路径 身份认证 cloud computing data transformation processing privacy information data encryption transmission path identity authentication
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