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