RESOLVING PRIVACY CONFLICT FOR MAINTAINING PRIVACY POLICIES IN ONLINE SOCIAL NETWORKS

Abstract

In recent years, the use of online social networks (OSNs) such as Facebook, Twitter etc has tremendous increased. Users see these OSNs as a useful tool to find friends and interact with them. Moreover, OSNs allow their users to share photos, videos, and express their thoughts, views and feelings. However, users are usually concerned about their privacy when using OSNs. These OSNs not only offer smart resources for virtual social interfaces and sharing of data but also improve a number of security and privacy issues. While OSNs allow a single user to manage access to her/his data, those currently do not provide any mechanism to apply privacy concerns over data associated with multiple users, remaining privacy harms largely unresolved and leading to the potential confession of information that at least one user planned to keep private. This is because the unrestricted image of a subject can be affected by photos or comments posted on a social network. In this way, recent studies shows that users are demanding better mechanisms to protect their privacy. For this concern, we provide a systematic mechanism to identify and resolve privacy conflicts in online social networks (OSNs). The first computational tool to resolve conflicts for multiparty privacy management in social media. This makes it enable to adapt different situations by modelling the concessions that users make to reach a solution to the conflicts. Our conflict resolution specifies a trade-off between privacy protection and data sharing by computing privacy risk and sharing loss.