Enhancing physical security in IIoMT environments

The Industrial Internet of Medical Things (IIoMT) transforms healthcare through interconnected devices enabling real-time monitoring, diagnostics, and treatment. However, these devices often lack robust physical security, making them vulnerable to tampering, theft, and unauthorized access. This paper introduces SecureGuard-IIoMT, an innovative adaptive physical security framework designed to mitigate such vulnerabilities across diverse deployment environments. SecureGuard-IIoMT comprises three integrated components enhancing device security. The first, Adaptive Sensor-Based Intrusion Detection (ASID), utilizes vibration, proximity, and pressure sensors combined with lightweight machine learning models to detect unauthorized physical interactions in real-time. ASID maintains detection accuracy across varied conditions by dynamically adjusting its thresholds. The second component, Dynamic Tamper Evident Enclosure (DTE), is a self-healing smart enclosure equipped with a tamper detection circuit. Upon tampering detection, DTE triggers alerts, initiates self-healing to ensure continuous device operation, and logs detailed incident reports for further analysis. The third component, Blockchain-Powered Access Control System (BPACS), leverages blockchain technology to maintain decentralized, secure, and immutable access logs. Only authorized physical access requests are approved and recorded, preventing unauthorized interactions. Extensive simulations and real-world tests demonstrate that SecureGuard-IIoMT achieves an 85 % reduction in tampering risks and a 92 % decrease in unauthorized access attempts. Its lightweight, modular design ensures compatibility with various IIoMT devices without compromising performance or cost-effectiveness. SecureGuard-IIoMT effectively bridges critical security gaps in IIoMT device hardening, providing scalable solutions essential for securing healthcare infrastructures. Future work will focus on integrating quantum-resistant encryption into BPACS and employing advanced tamper-evident materials for enhanced security. Future work will focus on integrating quantum-resistant encryption into BPACS and employing advanced tamper-evident materials for enhanced security. The key contributions of this study include the design of an adaptive multi-sensor intrusion detection module (ASID), a tamper-evident self-healing enclosure (DTE), and a decentralized blockchain-based access control system (BPACS). Collectively, these components achieve an 85 % reduction in tampering risks and a 92 % decrease in unauthorized access attempts while maintaining lightweight and scalable deployment.

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Publication Details

Journal
Internet of Things
Published
2025-05-15
DOI
https://doi.org/10.1016/j.iot.2025.101653
Citations
3
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
4.46
Controls
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article

Enhancing physical security in IIoMT environments

Umar Islam, Naveed Ahmed Khan, Hathal Salamah Alwageed, Hanif Ullah et al.
3 citations
Internet of Things
IoT and Edge/Fog Computing
4.46
article

Enhancing physical security in IIoMT environments

Umar Islam, Naveed Ahmed Khan, Hathal Salamah Alwageed, Hanif Ullah, Mohammed Naif Alatawi, Sulaiman Alamro
article en
3 citations

Abstract

The Industrial Internet of Medical Things (IIoMT) transforms healthcare through interconnected devices enabling real-time monitoring, diagnostics, and treatment. However, these devices often lack robust physical security, making them vulnerable to tampering, theft, and unauthorized access. This paper introduces SecureGuard-IIoMT, an innovative adaptive physical security framework designed to mitigate such vulnerabilities across diverse deployment environments. SecureGuard-IIoMT comprises three integrated components enhancing device security. The first, Adaptive Sensor-Based Intrusion Detection (ASID), utilizes vibration, proximity, and pressure sensors combined with lightweight machine learning models to detect unauthorized physical interactions in real-time. ASID maintains detection accuracy across varied conditions by dynamically adjusting its thresholds. The second component, Dynamic Tamper Evident Enclosure (DTE), is a self-healing smart enclosure equipped with a tamper detection circuit. Upon tampering detection, DTE triggers alerts, initiates self-healing to ensure continuous device operation, and logs detailed incident reports for further analysis. The third component, Blockchain-Powered Access Control System (BPACS), leverages blockchain technology to maintain decentralized, secure, and immutable access logs. Only authorized physical access requests are approved and recorded, preventing unauthorized interactions. Extensive simulations and real-world tests demonstrate that SecureGuard-IIoMT achieves an 85 % reduction in tampering risks and a 92 % decrease in unauthorized access attempts. Its lightweight, modular design ensures compatibility with various IIoMT devices without compromising performance or cost-effectiveness. SecureGuard-IIoMT effectively bridges critical security gaps in IIoMT device hardening, providing scalable solutions essential for securing healthcare infrastructures. Future work will focus on integrating quantum-resistant encryption into BPACS and employing advanced tamper-evident materials for enhanced security. Future work will focus on integrating quantum-resistant encryption into BPACS and employing advanced tamper-evident materials for enhanced security. The key contributions of this study include the design of an adaptive multi-sensor intrusion detection module (ASID), a tamper-evident self-healing enclosure (DTE), and a decentralized blockchain-based access control system (BPACS). Collectively, these components achieve an 85 % reduction in tampering risks and a 92 % decrease in unauthorized access attempts while maintaining lightweight and scalable deployment.

Internet of ThingsVol. 33
University of Ulster (GB), Qassim University (SA), Jouf University (SA), Iqra National University (PK), Buraydah Colleges (SA), University of Tabuk (SA)
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
IoT and Edge/Fog Computing
4.46
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