{"title":"Government and enterprise data security sharing method based on differential privacy protection","authors":"Xiaomin Xu, Zhenglei Zhu, Jiange Liu, Xin Liu, Qingxuan Guo","doi":"10.1117/12.2668452","DOIUrl":null,"url":null,"abstract":"The security of government and enterprise data sharing is very important and critical. To increase the number of data sharing, create a more stable transmission and processing environment, and reduce network threats, this paper studies the security sharing method of government and enterprise data based on differential privacy protection. Firstly, the government and enterprise data encryption are described, and the Tendermint differential overlapping interactive sharing nodes are deployed in the preset area. Then, based on this, the interactive differential privacy protection data sharing model is designed, and the threat identification method is used to achieve data security sharing. The experimental results show that compared with the traditional proxy encryption data security sharing test group and the traditional CP-ABE data security sharing test group, the differential privacy protection sharing test group designed in this paper achieves relatively more times of one-way data security sharing, which indicates that the proposed method has a small error and fast speed in the actual data transmission process. The data processing in the region has less restrictive conditions and has practical application value.","PeriodicalId":345723,"journal":{"name":"Fifth International Conference on Computer Information Science and Artificial Intelligence","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fifth International Conference on Computer Information Science and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2668452","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The security of government and enterprise data sharing is very important and critical. To increase the number of data sharing, create a more stable transmission and processing environment, and reduce network threats, this paper studies the security sharing method of government and enterprise data based on differential privacy protection. Firstly, the government and enterprise data encryption are described, and the Tendermint differential overlapping interactive sharing nodes are deployed in the preset area. Then, based on this, the interactive differential privacy protection data sharing model is designed, and the threat identification method is used to achieve data security sharing. The experimental results show that compared with the traditional proxy encryption data security sharing test group and the traditional CP-ABE data security sharing test group, the differential privacy protection sharing test group designed in this paper achieves relatively more times of one-way data security sharing, which indicates that the proposed method has a small error and fast speed in the actual data transmission process. The data processing in the region has less restrictive conditions and has practical application value.