A secure Low Power Implementation of Internet of Things Health Monitoring System

Abstract

The Internet of Things (IoT) makes smart objects the ultimate building blocks in the development of cyber-physical smart pervasive frameworks. The IoT has a variety of application domains, including health care. The IoT revolution is redesigning modern health care with promising technological, economic, and social prospects. Sometimes doctors need to periodically monitor patient’s status of body and visualize, although patients may be somewhere out of the medical centers, the information’s of patients are very important such that it must be keep from hacking by unauthorized persons. In this thesis, a human health-monitoring platform is designed and developed under the application framework of body sensor network of IoT. The platform can collect the physical information of user by constructing the human state acquisition system. Then the collected human physiological data is transmitted to data processing platform through ZigBee wireless network for further data processing, preservation and display, with which real-time rescue and treatment can be sent out by guardian, doctors and healthcare caregivers. In addition, this project analyzes distinct IoT security and privacy features, including security requirements, threat models, and attack taxonomies from the health care perspective.