User-controllable learning of security and privacy policies

  title={User-controllable learning of security and privacy policies},
  author={Patrick Gage Kelley and Paul Hankes Drielsma and Norman M. Sadeh and Lorrie Faith Cranor},
Studies have shown that users have great difficulty specifying their security and privacy policies in a variety of application domains. While machine learning techniques have successfully been used to refine models of user preferences, such as in recommender systems, they are generally configured as "black boxes" that take control over the entire policy and severely restrict the ways in which the user can manipulate it. This article presents an alternative approach, referred to as user… CONTINUE READING
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2017 International Conference on Inventive Computing and Informatics (ICICI) • 2017
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