Healthcare services based on the Internet of Things (Health-IoT) has great potential. The popularity of intelligent mobile medical devices, wearable bio-medical sensor devices, cloud computing and big data analysis have dramatically changed the usage pattern and business rule of Health-IoT. The rapid development of mobile solutions towards Health-IoT contains the risk of security and privacy. In this paper, a comprehensive trustworthy mobile solution based on architecture modeling with fuzzy-set theory towards Health-IoT is proposed. In particular, the solution is an semantics-based and fuzzy set theory mechanism to calculate trustworthiness for every stakeholders in mobility ecosystem for Health-IoT. An analytic methodology is presented backed with theoretical metrics and evaluated experimentally. The feasibility of the implemented about trustworthy mobile solution Health-IoT has been partly proven in field trials.
CITATION STYLE
Kang, K., & Wang, C. (2015). A trustworthy mobile solution for healthcare based on internet of things. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 150, pp. 217–222). Springer Verlag. https://doi.org/10.1007/978-3-319-19656-5_31
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