Buriro, Abdul Baseer and Buriro, Attaullah and Jamshed, Muhammad Ali and Khan, Wali Ullah and Yaqub, Muhammad Azfar (2025) Securing Military IoT: Context-Aware Biometrics at the Edge. IEEE Internet of Things Magazine, 8 (2). pp. 54-59. DOI https://doi.org/10.1109/iotm.001.2400147
Buriro, Abdul Baseer and Buriro, Attaullah and Jamshed, Muhammad Ali and Khan, Wali Ullah and Yaqub, Muhammad Azfar (2025) Securing Military IoT: Context-Aware Biometrics at the Edge. IEEE Internet of Things Magazine, 8 (2). pp. 54-59. DOI https://doi.org/10.1109/iotm.001.2400147
Buriro, Abdul Baseer and Buriro, Attaullah and Jamshed, Muhammad Ali and Khan, Wali Ullah and Yaqub, Muhammad Azfar (2025) Securing Military IoT: Context-Aware Biometrics at the Edge. IEEE Internet of Things Magazine, 8 (2). pp. 54-59. DOI https://doi.org/10.1109/iotm.001.2400147
Abstract
The increasing exploitation of the Internet of Things (IoT) in military settings has revolutionized the development of interconnected defense systems, resulting in the concept of the Internet of Military Things (IoMT). Within this technological ecosystem, wearable devices, especially smartwatches, have emerged as inevitable tools to improve the operational effectiveness and safety of soldiers. This study examines how smartwatches could function as edge devices to verify the identity of soldiers and to monitor their health in real time. By employing biometrics such as gesture recognition (for example, how wearer checks the time or gives a thumbs up) and meticulously analyzing these patterns, soldiers can be securely authenticated, to access sensitive information and IoT systems. Moreover, smartwatches can track biological signals, including Electrocardiogram (ECG) and Electromyographic (EMG) data, to comprehensively assess soldiers' emotional well-being and strategically respond when necessary. The fusion of technology with edge computing and behavioral biometrics in military wearables represents a groundbreaking advancement in modern warfare tactics and equipment.
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 21 Jul 2026 14:24 |
| Last Modified: | 21 Jul 2026 14:24 |
| URI: | http://repository.essex.ac.uk/id/eprint/40824 |