DocumentCode :
2224602
Title :
Improving Trust and Privacy Models in Social Networks
Author :
Jabeur, Nafaâ ; Zeadally, Sherali ; Maydebura, Sergey
Author_Institution :
Comput. Sci. Dept., Dhofar Univ., Salalah, Oman
fYear :
2012
fDate :
7-10 May 2012
Firstpage :
1
Lastpage :
5
Abstract :
The disclosure and misuse of personal information are two major problems of social networking sites. To address these problems, several models focusing on trust or privacy have been proposed. We propose a privacy model addressing the following issues: What could be private? For whom is it private? When is it private? And how can it be made private? We also propose a trust model covering five aspects related to what could be trusted, when it could be trusted, where it could be trusted, whom to trust, and why to trust someone/something. In addition to leveraging results from current research works on trust and privacy, our models are based on the results of our survey that we have undertaken to analyze the responses of users to friendship requests from unknown individuals and to conduct a comprehensive gender-based analysis of the collected data.
Keywords :
computer network security; data privacy; social networking (online); trusted computing; data collection; gender-based analysis; privacy model; social networking site; trust model; user response analysis; Adaptation models; Context; Context modeling; Data models; Data privacy; Privacy; Social network services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
New Technologies, Mobility and Security (NTMS), 2012 5th International Conference on
Conference_Location :
Istanbul
ISSN :
2157-4952
Print_ISBN :
978-1-4673-0228-9
Electronic_ISBN :
2157-4952
Type :
conf
DOI :
10.1109/NTMS.2012.6208769
Filename :
6208769
Link To Document :
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