• DocumentCode
    3731652
  • Title

    Autonomic trust management in cloud-based and highly dynamic IoT applications

  • Author

    Suneth Namal;Hasindu Gamaarachchi;Gyu MyoungLee;Tai-Won Um

  • Author_Institution
    Department of Computer Engineering, University of Peradeniya, P.O. Box 20400, Sri Lanka
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper, we propose an autonomic trust management framework for cloud based and highly dynamic Internet of Things (IoT) applications and services. IoT is creating a world where physical objects are seamlessly integrated in order to provide advanced and intelligent services for human-beings in their day-to-day life style. Therefore, trust on IoT devices plays an important role in IoT based services and applications. Cloud computing has been changing the way how provides are looking into these issues. Many studies have proposed different techniques to address trust management although non of them addresses autonomic trust management in cloud based highly dynamic IoT systems. To our understanding, IoT cloud ecosystems help to solve many of these issues while enhancing robustness and scalability. On this basis, we came up with an autonomic trust management framework based on MAPE-K feedback control loop to evaluate the level of trust. Finally, we presents the results that verify the effectiveness of this framework.
  • Keywords
    "Cloud computing","Security","Biological system modeling","Monitoring","Internet of things","Ecosystems","Scalability"
  • Publisher
    ieee
  • Conference_Titel
    ITU Kaleidoscope: Trust in the Information Society (K-2015), 2015
  • Type

    conf

  • DOI
    10.1109/Kaleidoscope.2015.7383635
  • Filename
    7383635