(r,QI)-Transform：Reversible Data Anonymity Based on Numeric Type of Data in Outsourced Database

作     者：Iuon-Chang Lin Yang-Te Lee Chen-Yang Cheng 

作者机构：the Department of Management Information Systems Chung Hsing University the Department of Photonics and Communication EngineeringAsia University Taichung 400 Department of Industrial Engineering and Management Taipei University of Technology Taipei 10608 

出 版 物：《Journal of Electronic Science and Technology》 (电子科技学刊（英文版）)

年 卷 期：2017年第15卷第3期

页      面：222-230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)] 0839[工学-网络空间安全] 08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Index Terms--Cloud database data anonymity,database privacy outsource database reversible 

摘      要：An outsource database is a database service provided by cloud computing *** the outsource database can reduce the hardware and software＇s cost and also get more efficient and reliable data processing ***,the outsource database still has some *** the service provider does not have sufficient confidence,there is the possibility of data *** data may has user＇s privacy,so data leakage may cause data privacy *** on this factor,to protect the privacy of data in the outsource database becomes very *** the past,scholars have proposed k-anonymity to protect data privacy in the *** lets data become anonymous to avoid data privacy *** k-anonymity has some problems,it is irreversible,and easier to be attacked by homogeneity attack and background knowledge *** on,scholars have proposed some studies to solve homogeneity attack and background knowledge *** their studies still cannot recover back to the original *** this paper,we propose a data anonymity *** can be reversible and also prevent those two *** study is based on the proposed *** can be used on the numeric type of attributes in the outsource *** the experiment,we discussed the time required to anonymize and recover ***,we investigated the defense against homogeneous attack and background knowledge *** the end,we summarized the proposed method and future researches.