文献类型：期刊文献

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

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

第一作者：Zhu, Haibin

通讯作者：Yi, T[1];Yi, T[2];Shang, ST[3];Shang, WQ[4]

机构：[1]Nipissing Univ, Dept Comp Sci & Math, North Bay, ON, Canada;[2]Guangxi Normal Univ, Minist Educ, Key Lab Educ Blockchain & Intelligent Technol, Guilin, Peoples R China;[3]Guangxi Normal Univ, Guangxi Key Lab Multisource Informat Min & Secur, Guilin, Peoples R China;[4]Zhengzhou Univ Light Ind, Sch Comp & Commun Engn, Zhengzhou, Peoples R China;[5]Commun Univ China, Sch Comp Sci, Beijing, Peoples R China;[6]Beijing Union Univ, Business Coll, Beijing, Peoples R China

第一机构：Nipissing Univ, Dept Comp Sci & Math, North Bay, ON, Canada

通讯机构：[1]corresponding author), Guangxi Normal Univ, Minist Educ, Key Lab Educ Blockchain & Intelligent Technol, Guilin, Peoples R China;[2]corresponding author), Guangxi Normal Univ, Guangxi Key Lab Multisource Informat Min & Secur, Guilin, Peoples R China;[3]corresponding author), Zhengzhou Univ Light Ind, Sch Comp & Commun Engn, Zhengzhou, Peoples R China;[4]corresponding author), Commun Univ China, Sch Comp Sci, Beijing, Peoples R China.

年份：2023

卷号：8

期号：2

起止页码：288-296

外文期刊名：CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY

收录：;EI(收录号：20232314188044);Scopus(收录号：2-s2.0-85160864857);WOS:【SCI-EXPANDED(收录号:WOS:000994308800001)】；

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

外文关键词：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.