A Survey On Privacy Conflict Detection And Resolution In Online Social Networks

Computer Engineering

In recent years social media got huge growth with billions of users but they also have to face privacy violations. There are no of items are uploaded by multiple users on a social media like photos, comments etc but applying preferences of only one party may leads to privacy issues. Social media only considers the uploader’s privacy preferences not other users who affected by that item. The affected users are those who having privacy issues regarding that uploading item in which they are depicted. To solve this problem proposed system have a set of negotiating users who co-own an item where one user(uploader) in that set wants to upload an item on a social network and other users affected by the item. All users have their individual privacy policies for that item and there is a set of target users, whom item will be shared. Policy includes either granting or denying access to the targeted users for that item. But there are some privacy policies that may have contradictory decisions. Contradictory policy contains one policy in which targeted user can access item and another policy in which he does not having access. Currently there are some approaches to solve this situation but it requires manual negotiation of user’s. In this paper system introduces a mechanism to solve this privacy conflicts by inspecting all users’ individual privacy policies and comparison between them. Based on that, system models concession rules for users and provides automatic resolution for it. Modelling of concession rules is based on user’s behaviour in the existing privacy control approaches. System captures user behaviour based on their willingness to grant/deny access for particular user for that uploading item.

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