• DocumentCode
    1583362
  • Title

    Privacy Preservation Approach in Service Ecosystems

  • Author

    Shen, Yiyun ; Miettinen, Markus ; Moen, Pirjo ; Kutvonen, Lea

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Helsinki, Helsinki, Finland
  • fYear
    2011
  • Firstpage
    283
  • Lastpage
    292
  • Abstract
    Emergence of business networking and social networking increases the exchange of sensitive information and creation of behaviour traces in the network. However, the current computing and communication solutions do not provide sufficient conceptual, architectural or technical facilities to preserve privacy while collaborating in the network. This paper enhances definition on privacy-related concepts to become sufficient for open service ecosystems, and finally introduces a privacy-preservation architecture with emphasis on usability, sustainability against threats, and reasonable cost of establishment and utilisation. As this architecture introduces new categories of tools for privacy preservation, it is significant also as a roadmap or maturity model.
  • Keywords
    business data processing; data privacy; social networking (online); business networking; open service ecosystem; privacy preservation approach; social networking; Collaboration; Computer architecture; Contracts; Ecosystems; Monitoring; Privacy; architecture; privacy; service ecosystem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Enterprise Distributed Object Computing Conference Workshops (EDOCW), 2011 15th IEEE International
  • Conference_Location
    Helsinki
  • Print_ISBN
    978-1-4577-0869-5
  • Electronic_ISBN
    978-0-7695-4426-7
  • Type

    conf

  • DOI
    10.1109/EDOCW.2011.59
  • Filename
    6037630