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Semantic Approach to Privacy Protection in Social Networks

Raja, Mohammad Mahdi | 2011

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  1. Type of Document: M.Sc. Thesis
  2. Language: English
  3. Document No: 41803 (52)
  4. University: Sharif University of Technology, International Campus, Kish Island
  5. Department: Science and Engineering
  6. Advisor(s): Sadighi Moshkenani, Mohsen
  7. Abstract:
  8. Social network is a map of relationships among individuals or organizations. With the development of social network sites (SNS), security protection of private information online has been a serious and important research topic. Information in social networks is online all the time and available to a large number of visitors. The main problem in current SNSs is that, people are not able to define different categories for their relations and then they cannot have good self-defined privacy policies. Also default policies cannot satisfy different environments and cultures and will serve information to strangers. After that different social networks with different interfaces are not understandable and sometimes difficult for users to work with. To reduce such issues, this research is going to add a new semantic understanding into the social networks structure. To do so, there is an inference engine in addition to a new knowledge base added to other conventional structures designed for social networks and an internal structure of both was proposed. After that, based on this new ability, adding a semantic engine, named “Access Control Layer”, was planned to control privacy based on relations of nodes in users’ ontology. This engine empowers users to take control over their own personal information on a semantic-based data structure, to give them permission to define some rules to express who can see what. To verify the success rate of this idea, after implementing the inference engine and ontologies also integrating them into a social network, we did an online and paper survey besides doing some crawling attacks. Results presented great improvements in performance and capabilities of semantic privacy protection in comparison with conventional structures in SNS
  9. Keywords:
  10. Semantic Web ; Social Networks ; Protection ; Privacy ; Data Security ; Access Control ; Ontology Reasoning

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