Design & Implementation of data privacy & security using IoT sensors in remote health monitoring system

Abstract

In this research article, the design & implementation of data privacy & security using IoT sensors in remote health monitoring system is presented. The concept of ‘things’ is expected to be broadened by the Internet of Things paradigm to encompass a wider range of entities, including intelligent machines, sensors, people, and any other IoT objects that is accessed at any time and from any location. Most favourable uses of IoT is in the medical sector, among its many other uses. Further, IoT systems' enormous attack surface and vulnerabilities need to be watched over and secured. Security is crucial for IoT solutions in the medical sector. This study examines several IoT applications in healthcare with a focus on the data security features of IoT devices, which include remote patient monitoring systems. This work proposed here discussed about design steps and implementing same for an IoT-based smart framework for real-time, round-the-clock monitoring of human temperature, heartbeat, and movement detection. Three IoT sensors are coupled with the Raspberry model. This model is given the sensing data for processing and secure cloud storage. The gadget encrypts the parameter data using the Python Bcrypt algorithm, and since a powerful algorithm is used for both encryption and decryption, the user may access the decrypted data after the decryption process. By verifying the user credentials, authentication concepts are applied. Privacy and security to patient’s data is achieved. There will be fewer opportunities to decode it because a passwords are hashed in Python with BCrypt algorithm. Since every user or computer can be authenticated and BCrypt encryption and decryption methods are used, this method solves some of the security problems in IoT networks.