文献类型：期刊文献

中文题名：A multiple sensitive attributes data publishing method with guaranteed information utility

作者：Haibin Zhu[1];Tong Yi[2,3];Songtao Shang[4];Minyong Shi[5];Zhucheng Li[6];Wenqian Shang[5]

第一作者：Haibin Zhu

机构：[1]Department of Computer Science and Mathematics,Nipissing University,North Bay,Ontario,Canada;[2]Key Lab of Education Blockchain and Intelligent Technology,Ministry of Education,Guangxi Normal University,Guilin,China;[3]Guangxi Key Lab of Multi‐Source Information Mining and Security,Guangxi Normal University,Guilin,China;[4]School of Computer and Communication Engineering,Zhengzhou University of Light Industry,Zhengzhou,China;[5]School of Computer Science,Communication University of China,Beijing,China;[6]Business College,Beijing Union University,Beijing,China

第一机构：Department of Computer Science and Mathematics,Nipissing University,North Bay,Ontario,Canada

年份：2023

卷号：8

期号：2

起止页码：288-296

中文期刊名：智能技术学报(英文)

外文期刊名：CAAI Transactions on Intelligence Technology

收录：Scopus;PubMed

基金：Guangxi project of improving Middle-aged/Young teachers'ability,Grant/Award Number:2020KY020323;Fundamental Research Funds for the Central Universities,Grant/Award Number:CUC210A003。

语种：英文

中文关键词：data analysis;data privacy;security of data

摘要：Data publishing methods can provide available information for analysis while preserving privacy.The multiple sensitive attributes data publishing,which preserves the relationship between sensitive attributes,may keep many records from being grouped and bring in a high record suppression ratio.Another category of multiple sensitive attributes data publishing,which reduces the possibility of record suppression by breaking the relationship between sensitive attributes,cannot provide the sensitive attributes association for analysis.Hence,the existing multiple sensitive attributes data publishing fails to fully account for the comprehensive information utility.To acquire a guaranteed information utility,this article defines comprehensive information loss that considers both the suppression of records and the relationship between sensitive attributes.A heuristic method is leveraged to discover the optimal anonymity scheme that has the lowest comprehensive information loss.The experimental results verify the practice of the proposed data publishing method with multiple sensitive attributes.The proposed method can guarantee information utility when compared with previous ones.