Towards a Gateway-based Context-Aware and Self-Adaptive Security Management Model for IoT-based eHealth Systems
Open accessAbstract
IoT-based systems have considerable dynamic behavior and heterogeneous technology participants. The corresponding threats and security operations are also complex to handle. Traditional security solutions may not be appropriate and effective in such ecosystems as they recognize and assess a limited context, they work well only with high-end and specific computing platforms, and implement manual response mechanisms. We have identified the security objectives of a potential IoT-eHealth system and have proposed a security model that can efficiently achieve them. The proposed model is a context-aware and self-adaptive security management model for IoT, in eHealth perspective that will monitor, analyze, and respond to a multitude of security contexts autonomously. As these operations are planned at the gateway level, the model exploits the advantages of computing in the Fog Layer. Moreover, the proposed model offers flexibility and open connectivity to allow any smart device or thing to be managed irrespective of their native design. We have also explained how our model can establish and serve the essential security objectives of an IoT-based environment.
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IoMT can significantly improve the efficiency of the healthcare system by ensuring the safety of patients.
“Through these advanced countermeasures, it has been observed that IoMT can significantly improve the efficiency of the healthcare system by ensuring the safety of patients [14], [15].”
From Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey (2023) · cites this paper as [15]
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Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey
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- Authors
- Aman, W., & Kausar, F.
- Affiliations
- Sultan Qaboos University (OM)
- Venue
- International Journal of Advanced Computer Science and Applications
- Published
- 2019
- Volume
- 10
- Issue
- 1
- ISSN
- 2156-5570 (ISSN-L)
- 2158-107X
- OpenAlex
- W2912754747
- Cited by
- 12
- References
- 19
- Citations by year
- 2026: 1 · 2023: 2 · 2022: 4 · 2021: 4 · 2019: 1
- FWCI
- 1.23
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- International Journal of Advanced Computer Science and Applications (publishedVersion, cc-by)
- Funders
- Sultan Qaboos University
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Keywords
- Internet of Things security, e-health, context-aware security, security management model, fog computing, smart devices, security objectives
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