Towards a model of user-centered privacy preservation

Paul Grace, Mike Surridge

Research output: Chapter in Book/Published conference outputConference publication

Abstract

The growth in cloud-based services tailored for users means more and more personal data is being exploited, and with this comes the need to better handle user privacy. Software technologies concentrating on privacy preservation typically present a one-size fits all solution. However, users have different viewpoints of what privacy means to them and therefore, configurable and dynamic privacy preserving solutions have the potential to create useful and tailored services without breaching any user's privacy. In this paper, we present a model of user-centered privacy that can be used to analyse a service's behaviour against user preferences, such that a user can be informed of the privacy implications of that service and what fine-grained actions they can take to maintain their privacy. We show through a case- study that the user-based privacy model can: i) provide customizable privacy aligned with user needs; and ii) identify potential privacy breaches.

Original languageEnglish
Title of host publicationARES 2017 - Proceedings of the 12th International Conference on Availability, Reliability and Security
PublisherACM
ISBN (Electronic)9781450352574
DOIs
Publication statusPublished - 29 Aug 2017
Event12th International Conference on Availability, Reliability and Security, ARES 2017 - Reggio Calabria, Italy
Duration: 29 Aug 20171 Sept 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F130521

Conference

Conference12th International Conference on Availability, Reliability and Security, ARES 2017
Country/TerritoryItaly
CityReggio Calabria
Period29/08/171/09/17

Keywords

  • Cloud computing
  • Model-driven development ACM
  • Privacy

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