Styx: Design and Evaluation of a New Privacy Risk Communication Method for Smartphones

  • Gökhan Bal
  • Kai Rannenberg
  • Jason Hong
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 428)


Modern smartphone platforms are highly privacy-affecting but not effective in properly communicating their privacy impacts to its users. Particularly, actual data-access behavior of apps is not considered in current privacy risk communication approaches. We argue that factors such as frequency of access to sensitive information is significantly affecting the privacy-invasiveness of applications. We introduce Styx, a novel privacy risk communication system that provides the user with more meaningful privacy information based on the actual behavior of apps. In a proof-of-concept study we evaluate the effectiveness of Styx. Our results show that more meaningful privacy warnings can increase user trust into smartphone platforms and also reduce privacy concerns.


Privacy Information User Study Ubiquitous Computing Sensitive Information Mobile Cloud Computing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© IFIP International Federation for Information Processing 2014

Authors and Affiliations

  • Gökhan Bal
    • 1
  • Kai Rannenberg
    • 1
  • Jason Hong
    • 2
  1. 1.Goethe University FrankfurtGermany
  2. 2.Carnegie Mellon UniversityPittsburghUSA

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