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5G-MobiCare: A Secure 5G Assisted Remote Mobile Health Monitoring Platform
Author(s) -
Hemangi Goswami,
Tarun Pandey,
Hiten Choudhury
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3593197
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
E-Healthcare utilizes IoT-enabled medical devices equipped with sensors to gather and transmit patient health data to a centralized electronic health record (EHR) system via mobile networks, enabling remote health management. This setup generates vast amounts of real-time data, making secure device authentication essential to ensure data privacy and security. In critical scenarios like ambulance care, quick and reliable authentication becomes crucial as devices remain in motion. To address this, a remote registration and group authentication scheme is proposed for eSIM-enabled medical devices using the 5G mobile network for transmitting sensitive health data. eSIM-enabled sensors provide a flexible, secure means of connecting to healthcare networks, while group authentication further enhances efficient and reliable communication. Lightweight cryptographic techniques, including Elliptic Curve Cryptography (ECC), one-way hash functions, and XOR operations, address the resource constraints of medical sensors. A group secret key enables collective device authentication, reducing computational and communication overhead. The scheme’s security is validated using BAN logic and the Automated Validation of Internet Security Protocols and Applications (AVISPA). The proposed scheme enhances security and efficiency for e-healthcare systems. The group secret key reduces resource usage, making the approach suitable for constrained devices. Lightweight cryptographic functions ensure data security without overburdening sensors. Security validations confirm robustness against threats. The proposed framework for eSIM-enabled medical devices leverages the 5G network and lightweight cryptographic techniques to provide secure, efficient communication of health data. This approach enhances patient management, particularly in critical scenarios like ambulance care, where reliable authentication is vital. Future work can explore scalability and broader IoT applications.

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