An Effectual Data Management Over Healthcare Systems for Improving Privacy in Iot Environment

Abstract

Abstract The advancements in hardware and networking technology are merged with Internet of Things (IoT) which provides flexibility for monitoring the health condition of individuals. This is a smart environment that includes city, homes, and agriculture; as well, it recently includes healthcare systems for disease prediction and for medical advices. To improve the ability of IoT with healthcare system, the layers of data transmission has to be analyzed. This is to validate the faster response of physicians during the time of communication and lower latency. Moreover, this technology encounters various challenges in providing privacy towards the users and to address this privacy issue to certain extent. In the initial stage, the technology runs with a lesser privacy. Hence, this work deals with the modeling of e-healthcare framework that deals with preserving electronic medical records and attempts to eliminate privacy issue. However, the experimentation is done with MATLAB environment that concentrates on the metrics like response time and delay. The anticipated model provides better outcome in contrary to other models. The outcomes of this work are effectual while offering privacy with standardized network factors.