DocumentCode
741038
Title
A Study of Online Social Network Privacy Via the TAPE Framework
Author
Zeng, Yongbo ; Sun, Yan ; Xing, Liudong ; Vokkarane, Vinod
Author_Institution
Department of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI, USA
Volume
9
Issue
7
fYear
2015
Firstpage
1270
Lastpage
1284
Abstract
While personal information privacy is threatened by online social networks, researchers are seeking for privacy protection tools and methods to assist online social network users. In this paper, we propose a Trust-Aware Privacy Evaluation framework, called TAPE, aiming to address this problem. Under the TAPE framework we investigate how to quantitatively evaluate the privacy risk, as a function of people´s awarenesses of privacy risks as well as whether people can be trusted by their friends to protect others´ personal information. Simulations are performed to illustrate the key concepts and calculations, as well as the advantages of TAPE. Based on the TAPE framework, we also propose an unfriending strategy in terms of privacy protection, which outperforms other existing unfriending strategies.
Keywords
Privacy; Reliability; Risk analysis; Sensitivity analysis; Social network services; Wireless sensor networks; Online social networks; privacy; trust-awareness;
fLanguage
English
Journal_Title
Selected Topics in Signal Processing, IEEE Journal of
Publisher
ieee
ISSN
1932-4553
Type
jour
DOI
10.1109/JSTSP.2015.2427774
Filename
7097660
Link To Document