Personalized Privacy Protecting Model in Mobile Social Network

作     者：Pingshui Wang Zecheng Wang Tao Chen Qinjuan Ma 

作者机构：Anhui University of Finance and EconomicsBengbu233030China University of KansasLawrenceKansas66045USA 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2019年第59卷第5期

页      面：533-546页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0701[理学-数学] 0801[工学-力学（可授工学、理学学位）] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：We thank the anonymous reviewers and editors for their very constructive comments.This work was supported by the National Social Science Foundation Project of China under Grant 16BTQ085 

主　　题：Mobile social network privacy policy personalized privacy preference models 

摘      要：With the rapid development of the new generation of information technology,the analysis of mobile social network big data is getting deeper and *** the same time,the risk of privacy disclosure in social network is also very *** this paper,we summarize the main access control model in mobile social network,analyze their contribution and point out their *** this basis,a practical privacy policy is defined through authorization model supporting personalized privacy *** have been conducted on synthetic data *** result shows that the proposed privacy protecting model could improve the security of the mobile social network while keeping high execution efficiency.