Call For Paper Volume:4 Issue:8 Aug'2017 |

PRIVACY POLICY INFERENCE MODEL USING ENHANCED PARENT CONTROL ALGORITHM

Publication Date : 02/12/2015



Author(s) :

K.Soniya lakshmi , V.Subathra , Ms D.Gowdhami.


Volume/Issue :
Volume 2
,
Issue 11
(12 - 2015)



Abstract :

 Images are now one of the key enablers of users’ connectivity. Sharing takes place both among previously established groups of known people or social circles (e.g.,Google+, Flickr or Picasa),and also increasingly with people outside the users social circles, for purposes of social discovery-to help them identify new peers and learn about peers interests and social surroundings. With the increasing volume of images users share through social sites, maintaining privacy has become a major problem, as demonstrated by a recent wave of publicized incidents where users inadvertently shared personal information. In light of these incidents, the need of tools to help users control access to their shared content is apparent. Toward addressing this need, we propose an Adaptive Privacy Policy Prediction (A3P) system to help users compose privacy settings for their images. This project examines the role of social context, image content, and metadata as possible indicators of users’ privacy preferences. This project proposes a two-level framework which according to the user’s available history on the site, determines the best available privacy policy for the user’s content being uploaded. The solution relies on an image classification framework for image categories which may be associated with similar policies, and on a policy prediction algorithm to automatically generate a policy for each newly uploaded image, also according to users’ social features. Online social networks (OSNs) have experienced tremendous growth in recent years. These OSNs offer attractive means for digital social interactions and information sharing, but also raise a number of security and privacy issues. While OSNs allow users to restrict access to shared data (policy mining), they currently do not provide any mechanism to enforce privacy concerns over data associated with multiple users. In addition, it analyzes how the approach can affect the effectiveness of a policy-based collaborative tagging system that supports enhanced web access functionalities, like content filtering and discovery, based on preferences specified by end users. 


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PRIVACY POLICY INFERENCE MODEL USING ENHANCED PARENT CONTROL ALGORITHM

November 30, 2015