Design And Implementation of a Secure Remote Patient Monitoring System Using Advanced Encryption Standard and Meta Mask Authentication

Abstract

Remote Patient Monitoring (RPM) systems enable continuous tracking of patient vital signs outside clinical settings, improving outcomes and reducing hospital visits. However, privacy and security concerns remain a major barrier to their adoption. In this paper, we present the design and implementation of a secure RPM system that uses Advanced Encryption Standard (AES) to encrypt sensor data and MetaMask (an Ethereum wallet/extension) to authenticate users. The system integrates biomedical sensors (ECG, pulse oximeter, and temperature) with an Arduino microcontroller and Wi-Fi module. Encrypted data are transmitted to a cloud database, while physicians' access and decrypt data via a web interface protected by MetaMask login. A prototype was developed and tested, it successfully collected and transmitted patient vitals (heart rate, SpO₂, temperature) to the cloud and permitted only authenticated users to view the decrypted data. Performance evaluation of the system showed that it achieved an average 981.1ms delay in rendering the collected vitals to the doctor. The AES encryption on the Arduino recorded minimal latency of <50ms per block, while network transmission delay was within 500ms per upload. The proposed approach ensured confidentiality of health data in transit and at rest, addressing data privacy challenges in RPM.