Title :
BBN-based privacy management sytem for facebook
Author :
Baatarjav, Enkh-Amgalan ; Dantu, Ram ; Tang, Yan ; Cangussu, Jo Ao
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of North Texas, Denton, TX
Abstract :
Online social networking sites (SNSs) has changed our lifestyle and become a main medium of communication among young adults to stay in touch with their friends, to organize events, to make friends, to promote themselves, to date, etc. To create content rich environment, SNSs make their platform available for third-party developers. The developers can build their applications based on users´ social graph containing their personal and social information. Unfortunately, any information users posted on their profile can be harvested and used for unethical purposes due to Facebook´s lack of application privacy configuration. In this paper we propose a privacy-management system for Facebook applications. The system can take advantage of the correlation between some profile features and network privacy settings, in this way it can automatically configure a users privacy settings. Our preliminary result show promising result.
Keywords :
data privacy; graph theory; social networking (online); BBN-based privacy management system; Facebook; network privacy settings; online social networking sites; privacy configuration; users social graph; Computer science; Demography; Electronic mail; Facebook; History; Internet; Motion pictures; MySpace; Privacy; Social network services;
Conference_Titel :
Intelligence and Security Informatics, 2009. ISI '09. IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4171-6
Electronic_ISBN :
978-1-4244-4173-0
DOI :
10.1109/ISI.2009.5137300