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Review Papers | Computer Science & Engineering | India | Volume 5 Issue 1, January 2016 | Popularity: 6.1 / 10

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Shared Image Privacy Preserving Using Adaptive Prediction

Mohini Shinde, Tanuja Dhope

Abstract: Now images are one of the key enablers of users connectivity. With increasing volume of the images users share through social sites, maintaining privacy has become a major problem. In light of these incidents, the need of tools to help users control access to their shared content is apparent. An Adaptive Privacy Policy Prediction (A3P) system helps users to compose privacy settings for their images. A two-level framework which according to the users available history on the site, determines the best available privacy policy for the users images being uploaded. A3P system aims to provide users a hassle free privacy settings experience by automatically generating personalized policies. The A3P system provides a comprehensive framework to infer privacy preferences based on the information available for a given user.

Keywords: Adaptive Privacy Policy Prediction A3P, Online social networks OSNs, Content Based Image Retrieval CBIR

Edition: Volume 5 Issue 1, January 2016

Pages: 435 - 437

DOI: https://www.doi.org/10.21275/NOV152673

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