[en] 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.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Buriro, Abdul Baseer; Sukkur Iba University, Pakistan
Buriro, Attaullah; Free University of Bozen, Bolzano, Italy
Jamshed, Muhammad Ali; University of Glasgow, United Kingdom
KHAN, Wali Ullah ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Yaqub, Muhammad Azfar; Free University of Bozen, Bolzano, Italy
External co-authors :
yes
Language :
English
Title :
Securing Military IoT: Context-Aware Biometrics at the Edge
Publication date :
2025
Journal title :
IEEE Internet of Things Magazine
ISSN :
2576-3180
eISSN :
2576-3199
Publisher :
Institute of Electrical and Electronics Engineers Inc.
S. Burmaoglu et al., "Defense 4.0: Internet of Things in Military, " Emerging Technologies for Economic Development, 2019, pp. 303-20.
A. A. El-Saleh et al., "The Internet of Medical Things (IoMT): Opportunities and Challenges, " Wireless Networks, 2024, pp. 1-18.
A. Buriro et al., "Wearable Wisdom: A Bimodal Behavioral Biometric Scheme for Smartwatch User Authentication, " IEEE Access, 2024.
K. Sahu et al., "Military Computing Security: Insights and Implications, " J. Institution of Engineers (India): Series B, 2024, pp. 1-25.
A. Buriro, Behavioral Biometrics for Smartphone User Authentication, Ph.D. Thesis, University of Trento, 2017.
L. Scheit, "Optimizing the Introduction of Wearable Sensors Into the German Armed Forces for Military Medical Applications, " Military Medicine, vol. 186, no. 9-10, 2021, pp. 962-68.
M. Zwanenburg, "Know Thy Enemy: The Use of Biometrics in Military Operations and International Humanitarian Law, " International Law Studies, vol. 97, no. 1, 2021, p. 49.
A. Buriro et al., "Airsign: A Gesture-Based Smartwatch User Authentication, " 2018 Int'l. Carnahan Conf. Security Technology (ICCST), 2018, pp. 1-5.
M. Guerar et al., "Circlepin: A Novel Authentication Mechanism for Smartwatches to Prevent Unauthorized Access to IoT Devices, " ACM Trans. Cyber-Physical Systems, vol. 4, no. 3, 2020, pp. 1-19.
I. Deutschmann et al., "Continuous Authentication Using Behavioral Biometrics, " IT Professional, vol. 15, no. 4, 2013, pp. 12-15.
R. Jerath et al., "The Future of Stress Management: Integration of Smartwatches and HRV Technology, " Sensors, vol. 23, no. 17, 2023, p. 7314.
A. Almer et al., "Multisensory Wearable Vital Monitoring System for Military Training, Exercise and Deployment, " Advances in Neuroergonomics and Cognitive Engineering: Proc.e AHFE 2021 Virtual Conf. Neuroergonomics and Cognitive Engineering, Industrial Cognitive Ergonomics and Engineering Psychology, and Cognitive Computing and Internet of Things, July 25-29, 2021, USA, Springer, 2021, pp. 497-505.
H. Cho et al., "Enhancing Battlefield Awareness: An Aerial RIS-Assisted ISAC System with Deep Reinforcement Learning, " arXiv preprint arXiv:2405.20168, 2024.
A. Sharma and S. Aggarwal, "Real-Time Health Monitoring System of Soldiers Using IoT, " Advanced Computational Paradigms and Hybrid Intelligent Computing: Proc. ICACCP 2021, Springer, 2022, pp. 285-96.
F. Ashfaq et al., "Enhancing Zero Trust Security in Edge Computing Environments: Challenges and Solutions, " World Conf. Information Systems and Technologies, Springer, 2024, pp. 433-44