Review on Semantic Approach to Detect Privacy Violations in Online Social Networks |
Author(s): |
| Karuna Sonone , Department of Computer Engineering Rajashri Shahu College of Engineering; V. M. Barkade, Department of Computer Engineering Rajashri Shahu College of Engineering |
Keywords: |
| Social Networks, Facebook, Privacy, Filtering |
Abstract |
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Social network users expect the social networks that they use to preserve their privacy. However, in online social networks, privacy breaches are not necessarily .In this proposed, first categorizes to protect the consumer that take place in online social networks. Our proposed approach is based on agent-based representation of a social network, where the agents manage users’ privacy requirements by creating commitments with the system. The proposed detection algorithm performs reasoning using the description logic and commitments on a varying depths of social networks. The proposed detection algorithm performs reasoning using the description logic and commitments on a varying depths of social networks. |
Other Details |
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Paper ID: IJSRDV6I21246 Published in: Volume : 6, Issue : 2 Publication Date: 01/05/2018 Page(s): 2510-2514 |
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