How a Pattern-based Privacy System Contributes to Improve Context Recognition

Christoph Stach, Frank Dürr, Kai Mindermann, Saravana Murthy Palanisamy, Stefan Wagner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

As Smart Devices have access to a lot of user-preferential data, they come in handy in any situation. Although such data - as well as the knowledge which can be derived from it - is highly beneficial as apps are able to adapt their services appropriate to the respective context, it also poses a privacy threat. Thus, a lot of research work is done regarding privacy. Yet, all approaches obfuscate certain attributes which has a negative impact on context recognition and thus service quality. Therefore, we introduce a novel access control mechanism called PATRON. The basic idea is to control access to information patterns. For instance, a person suffering from diabetes might not want to reveal his or her unhealthy eating habit, which can be derived from the pattern 'rising blood sugar level' 'adding bread units'. Such a pattern which must not be discoverable by some parties (e. g., insurance companies) is called private pattern whereas a pattern which improves an app's service quality is labeled as public pattern. PATRON employs different techniques to conceal private patterns and, in case of available alternatives, selects the one with the least negative impact on service quality, such that the recognition of public patterns is supported as good as possible.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages355-360
Number of pages6
ISBN (Electronic)9781538632277
DOIs
StatePublished - 2 Oct 2018
Externally publishedYes
Event2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 - Athens, Greece
Duration: 19 Mar 201823 Mar 2018

Publication series

Name2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018

Conference

Conference2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018
Country/TerritoryGreece
CityAthens
Period19/03/1823/03/18

Keywords

  • access control
  • complex event processing
  • databases
  • pattern concealing
  • privacy
  • stream processing

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