Corpus ID: 17880711

Crowdsourced, Actionable and Verifiable Contextual Informational Norms

@article{Shvartzshnaider2016CrowdsourcedAA,
  title={Crowdsourced, Actionable and Verifiable Contextual Informational Norms},
  author={Yan Shvartzshnaider and S. Tong and Thomas Wies and Paula Kift and H. Nissenbaum and L. Subramanian and Prateek Mittal},
  journal={arXiv: Computers and Society},
  year={2016}
}
There is often a fundamental mismatch between programmable privacy frameworks, on the one hand, and the ever shifting privacy expectations of computer system users, on the other hand. Based on the theory of contextual integrity (CI), our paper addresses this problem by proposing a privacy framework that translates users' privacy expectations (norms) into a set of actionable privacy rules that are rooted in the language of CI. These norms are then encoded using Datalog logic specification to… Expand

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