Privacy Management for Facebook

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Abstract

As more people adopt the Internet as a medium of communication, the Internet has developed into a virtual world and this has resulted in many online social networks (SN). MySpace and Facebook, two leading online SN sites, have a combined user base of 170 million as of 2008. SN sites started to offer developers open platforms that provide users’ profile information to the developers. Unfortunately, the applications can also be used to invade privacy and to harvest the users’ profile information without their acknowledgement. To address this vulnerability, we propose a privacy-management system that protects the accessibility of users’ profile. The system uses probabilistic approach based on information revelation of users. Our experimental result shows that the system can achieve high accuracy rate of 75%.