A multiple sensitive attributes data publishing method with guaranteed information utility

作     者：Haibin Zhu Tong Yi Songtao Shang Minyong Shi Zhucheng Li Wenqian Shang 

作者机构：Department of Computer Science and MathematicsNipissing UniversityNorth BayOntarioCanada Key Lab of Education Blockchain and Intelligent TechnologyMinistry of EducationGuangxi Normal UniversityGuilinChina Guangxi Key Lab of Multi‐Source Information Mining and SecurityGuangxi Normal UniversityGuilinChina School of Computer and Communication EngineeringZhengzhou University of Light IndustryZhengzhouChina School of Computer ScienceCommunication University of ChinaBeijingChina Business CollegeBeijing Union UniversityBeijingChina 

出 版 物：《CAAI Transactions on Intelligence Technology》 (智能技术学报（英文）)

年 卷 期：2023年第8卷第2期

页      面：288-296页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 

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 

主　　题：data analysis data privacy security of data 

摘      要：Data publishing methods can provide available information for analysis while preserving *** 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 *** 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 ***,the existing multiple sensitive attributes data publishing fails to fully account for the comprehensive information *** 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 *** experimental results verify the practice of the proposed data publishing method with multiple sensitive *** proposed method can guarantee information utility when compared with previous ones.