The smart health paradigms employ Internet-connected wearables fortelemonitoring, diagnosis for providing inexpensive healthcare solutions. Fogcomputing reduces latency and increases throughput by processing data near thebody sensor network. In this paper, we proposed a secure serviceorientated edgecomputing architecture that is validated on recently released public dataset.Results and discussions support the applicability of proposed architecture forsmart health applications. We proposed SoA-Fog i.e. a three-tier secureframework for efficient management of health data using fog devices. It discussthe security aspects in client layer, fog layer and the cloud layer. We designthe prototype by using win-win spiral model with use case and sequence diagram.Overlay analysis was performed using proposed framework on malaria vector bornedisease positive maps of Maharastra state in India from 2011 to 2014. Themobile clients were taken as test case. We performed comparative analysisbetween proposed secure fog framework and state-of-the art cloud-basedframework.
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