PriGuard: A Semantic Approach to Detect Privacy Violations in Online Social Networks

@article{Kkciyan2016PriGuardAS,
  title={PriGuard: A Semantic Approach to Detect Privacy Violations in Online Social Networks},
  author={Nadin K{\"o}kciyan and Pinar Yolum},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2016},
  volume={28},
  pages={2724-2737}
}
  • Nadin Kökciyan, P. Yolum
  • Published 1 October 2016
  • Computer Science
  • IEEE Transactions on Knowledge and Data Engineering
Social network users expect the social networks that they use to preserve their privacy. Traditionally, privacy breaches have been understood as the malfunctioning of a given system. However, in online social networks, privacy breaches are not necessarily a malfunctioning of a system but a byproduct of its workings. The users are allowed to create and share content about themselves and others. When multiple entities start distributing content without a control, information can reach unintended… 

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