• DocumentCode
    1834180
  • Title

    Privacy Verification Using Ontologies

  • Author

    Kost, Martin ; Freytag, Johann-Christoph ; Kargl, Frank ; Kung, Antonio

  • Author_Institution
    Databases & Inf. Syst., Humboldt Univ. Berlin, Berlin, Germany
  • fYear
    2011
  • fDate
    22-26 Aug. 2011
  • Firstpage
    627
  • Lastpage
    632
  • Abstract
    As information systems extensively exchange information between participants, privacy concerns may arise from its potential misuse. A Privacy by Design (PbD) approach considers privacy requirements of different stakeholders during the design and the implementation of a system. Currently, a comprehensive approach for privacy requirement engineering, implementation, and verification is largely missing. This paper extends current design methods by additional (formal) steps which take advantage of ontologies. The proposed extensions result in a systematic approach that better protects privacy in future information systems.
  • Keywords
    data privacy; formal verification; information systems; ontologies (artificial intelligence); PbD approach; Privacy by Design; information exchange; information systems; ontologies; privacy requirement engineering; privacy requirements; privacy verification; Analytical models; Data models; Data privacy; Ontologies; Privacy; Unified modeling language; Vehicles; Privacy Analysis; Privacy Ontologies; Privacy Requirements; Privacy Verification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Availability, Reliability and Security (ARES), 2011 Sixth International Conference on
  • Conference_Location
    Vienna
  • Print_ISBN
    978-1-4577-0979-1
  • Electronic_ISBN
    978-0-7695-4485-4
  • Type

    conf

  • DOI
    10.1109/ARES.2011.97
  • Filename
    6046051