8th International Conference on Body Area Networks

Research Article

Modeling of WBAN and Cloud Integration for Secure and Reliable Healthcare

  • @INPROCEEDINGS{10.4108/icst.bodynets.2013.253706,
        author={Kalyani Divi and Hong Liu},
        title={Modeling of WBAN and Cloud Integration for Secure and Reliable Healthcare},
        proceedings={8th International Conference on Body Area Networks},
        keywords={wireless body area networks (wban) integration of wban and cloud (wban-cloud) security/reliability/quality-of-service (qos) modeling and simulation},
  • Kalyani Divi
    Hong Liu
    Year: 2013
    Modeling of WBAN and Cloud Integration for Secure and Reliable Healthcare
    DOI: 10.4108/icst.bodynets.2013.253706
Kalyani Divi1, Hong Liu1,*
  • 1: University of Massachusetts Dartmouth
*Contact email: HLiu@umassd.edu


Wireless Body Area Network (WBAN) becomes an emerging technology for ubiquitous healthcare. On-body or implanted sensors continuously collect patients' vital signs that are delivered wirelessly and automatically to caregivers. Humongous data need efficient process and storage with Cloud as it evolves from the Internet and distributed process/storage. Integrating WBAN and Cloud, WBAN-cloud, promises effective healthcare. However, security to resist malicious attacks and reliability to tolerate natural frays should be addressed due to its high stake. This paper proposes a WBAN-cloud architecture targeted at monitoring a variety of biomedical conditions. The design considers security and reliability requirements in the entire process, resulting in a unique structure of Forest Topology Three Tier (FTTT). By introducing a security gate, extended dynamic fault tree models FTTT Secure Architecture to analyze its resilience against security failures besides tolerance of component failures to ensure quality-of-service. FaultyTree+ package confirms the architecture’s satisfactory level of security and reliability.