PRIVACY POLICY FOR IMAGES IN SOCIAL NETWORK
Journal Title: Elysium Journal of Engineering Research and Management - Year 2015, Vol 2, Issue 3
Abstract
Content sharing images within online content sharing sites, may quickly lead to unwanted disclosure and privacy violations. Further, the persistent nature of online media makes it possible for other users to collect rich aggregated information about the owner of the published content and the subjects in content. An Adaptive Privacy Policy Prediction (A3P) system provides the users to experience the hassle free privacy settings by using the automatic generated personalized policies. It is important to find the balancing point between the impact of social environment and users individual characteristics in order to predict the policies that match each individual needs. The A3P system processes images uploaded by the users. A3P system provides a comprehensive framework to infer privacy preferences based on information available for a given user. The role of social context and image context as possible indicators of user’s privacy preferences are examined.
Authors and Affiliations
Akshaya R. , Nandhini J. M.
Keywords
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