SoA-Fog: Secure Service-Oriented Edge Computing Architecture for Smart Health Big Data Analytics

TL;DR

This paper introduces SoA-Fog, a secure, three-tier edge computing architecture designed for smart health data management, validated on public datasets, and shown to improve security and efficiency over traditional cloud solutions.

Contribution

The paper presents a novel secure service-oriented fog computing framework specifically tailored for smart health applications, including security features and a prototype implementation.

Findings

Validated on public health datasets with positive results.

Demonstrated improved security and efficiency over cloud-based frameworks.

Applied to malaria disease mapping in India with successful overlay analysis.

Abstract

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.