Abstract: Advances in information and communication technologies have led to the emergence of Internet of Things
(IoT). In the modern health care environment, the usage of IoT technologies brings convenience to physicians and
patients since they are applied to various medical areas (such as real-time monitoring, patient information and healthcare
management). The body sensor network (BSN) technology is one of the core technologies of IoT developments in
healthcare system, where a patient can be monitored using a collection of tiny-powered and lightweight wireless sensor
nodes. However, development of this new technology in healthcare applications without considering data security risks
makes patient privacy vulnerable. In this project all these aspects are covered to implement smart and secured healthcare
monitoring system. At first, an IoT based healthcare monitoring system is proposed using various body sensor networks.
In next stage, various Machine learning algorithms are used for disease prediction based on the input parameters
received from the sensor network. In the last stage, a necessity of secured IoT system is highlighted and a solution is
proposed for the same.
Keywords—BSN, IoT, Machine Learning, Heart Disease, Data Privacy