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Averting Intruder Attack on Social Network by Data Sanitization

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Abstract
Online Social Networks offer for social interactions and information sharing among peoples, but it includes security and privacy issues. OSNs allow users to limit access to shared data; OSNs currently do not provide any mechanism to enforce privacy concerns over data associated with multiple users. To overcome this, we put forward an approach which supports the protection of shared data associated with multiple users in OSNs. We are developing an access control model to capture the core of shared authorization requirements, along with a multiparty policy specification scheme and a policy enforcement mechanism.

Keywords:anonimizing, elgamal cryptosystem, multiparty access control , Online social network.

References:

  1. Facebook Beacon, 2007.
  2. K.M. Heussner, “Gaydar‟ n Facebook: Can Your Friends Reveal Sexual Orientation?” http://abcnews.go.com/Technology/gaydar-facebook-friends/story?id=8633224#. UZ939UqheOs, Sept. 2009.
  3. C. Johnson, “Project Gaydar,” The Boston Globe, Sept. 2009.
  4. L. Backstrom, C. Dwork, and J. Kleinberg, “Wherefore Art Thou r3579x: Anonymized Social Networks, Hidden Patterns, and Structural Steganography,” Proc. 16th Int‟l Conf. World Wide Web (WWW ‟07), pp. 181-190, 2007.
  5. J. He, W. Chu, and V. Liu, “Inferring Privacy Information from Social Networks,” Proc. Intelligence and Security Informatics, 2006.
  6. E. Zheleva and L. Getoor, “Preserving the Privacy of Sensitive Relationships in Graph Data,” Proc. First ACM SIGKDD Int‟l Conf. Privacy, Security, and Trust in KDD, pp. 153-171, 2008.
  7. Raymond Heatherly, Murat Kantarcioglu, and Bhavani Thuraisingham, “Preventing Private Information Inference Attacks on Social Networks”, 2013