• DocumentCode
    188027
  • Title

    User-Driven Privacy Enforcement for Cloud-Based Services in the Internet of Things

  • Author

    Henze, Martin ; Hermerschmidt, Lars ; Kerpen, Daniel ; Haussling, Roger ; Rumpe, Bernhard ; Wehrle, Klaus

  • Author_Institution
    Commun. & Distrib. Syst., RWTH Aachen Univ., Aachen, Germany
  • fYear
    2014
  • fDate
    27-29 Aug. 2014
  • Firstpage
    191
  • Lastpage
    196
  • Abstract
    Internet of Things devices are envisioned to penetrate essentially all aspects of life, including homes and urban spaces, in use cases such as health care, assisted living, and smart cities. One often proposed solution for dealing with the massive amount of data collected by these devices and offering services on top of them is the federation of the Internet of Things and cloud computing. However, user acceptance of such systems is a critical factor that hinders the adoption of this promising approach due to severe privacy concerns. We present UPECSI, an approach for user-driven privacy enforcement for cloud-based services in the Internet of Things to address this critical factor. UPECSI enables enforcement of all privacy requirements of the user once her sensitive data leaves the border of her network, provides a novel approach for the integration of privacy functionality into the development process of cloud-based services, and offers the user an adaptable and transparent configuration of her privacy requirements. Hence, UPECSI demonstrates an approach for realizing user-accepted cloud services in the Internet of Things.
  • Keywords
    Internet of Things; cloud computing; data privacy; Internet of Things; UPECSI; cloud computing; cloud-based services; privacy functionality; user-driven privacy enforcement; Access control; Cloud computing; Data privacy; Medical services; Monitoring; Privacy; Cloud Computing; Development; Internet of Things; Model-driven; Privacy; Services; User-acceptance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Internet of Things and Cloud (FiCloud), 2014 International Conference on
  • Conference_Location
    Barcelona
  • Type

    conf

  • DOI
    10.1109/FiCloud.2014.38
  • Filename
    6984194