Efficient and Secure Authentication Scheme for IoMT – Based Healthcare

Abstract

The Internet of Medical Things (IoMT) has gained substantial traction in modern healthcare by enabling real-time monitoring and remote access to patient health data. This paper proposes an efficient and secure authentication-based healthcare monitoring system using cost-effective IoMT components. The system integrates biomedical sensors (LM35, MAX30102, ECG) with Arduino Nano and transmits health parameters via the ESP8266 Wi-Fi module to a Firebase cloud database. A lightweight authentication scheme using Firebase’s email-password login ensures controlled access to patient data. The system is designed to detect abnormal values and generate alerts automatically. Although data encryption is not implemented in the current version, the proposed design lays the groundwork for secure remote monitoring in low-resource and rural environments. The system’s modularity, affordability, and real-time responsiveness make it suitable for integration into scalable healthcare frameworks.