A Secure IoT-Fog Enabled Smart Decision Making system using Machine Learning for Intensive Care unit
Anwesha Banerjee, Bhabendu Kumar Mohanta, Soumyashree S. Panda, Debasish Jena, Srichandan Sobhanayak
Abstract
Internet of Things(IoT) is a connection of smart things and act quickly in any environment. Fog computing based framework has been used to be integrated with IoT to enable real-time processing at the network edge, aiming to improve the users experience and resilience of the services in case of emergency. With the advantage of distributed architecture and close to end-users, fog edge computing can provide faster response and greater quality of service for IoT applications. In this paper, we have proposed a framework that uses, fog computing along with IoT and machine learning to provide a better and smarter healthcare experience. The security of the framework is ensured by application of Blockchain technology.