Design and Analytical Validation of a Context-Aware Security Framework for Information-Sharing-Enabled Internet of Medical Things (IoMT) in Healthcare Systems
Arinaitwe Winfred, Kayeyo Margaret, Shefiu Olusegun Ganiyu, Michael Adawusi, Wanjiru Irene Muriithi
Published January 1, 2026
Pages 40-52
The integration of Internet of Medical Things (IoMT) technologies has enhanced healthcare delivery through real-time data exchange and interoperable clinical systems. However, this integration simultaneously expanded cybersecurity risks associated with information sharing, especially in resource-constrained healthcare environments such as Nsambya and Rubaga Hospitals, where the research was conducted. This study aimed to design and analytically validate a context-aware security framework for information-sharing-enabled IoMT systems in healthcare. Guided by the Digital Health Security Architecture (DHSA) and Design Science Research (DSR), the study synthesized findings from prior framework evaluations and a comprehensive security requirements analysis to develop a multi-dimensional security framework. The proposed framework integrated four interdependent dimensions—technical security functionalities, compliance and governance mechanisms, IT–clinical alignment, and socio-behavioral moderators—demonstrating full coverage of technical, organizational, behavioral, and contextual security requirements. Analytical and contextual validation indicated that the framework offered a robust, adaptable, and healthcare-oriented solution for securing IoMT-enabled healthcare systems, particularly in resource-constrained settings.
Internet of Medical Things
Security Framework
Information Sharing
Digital Health Security Architecture
Healthcare Cybersecurity
Design Science Research
Arinaitwe Winfred, Kayeyo Margaret, Shefiu Olusegun Ganiyu, Michael Adawusi, Wanjiru Irene Muriithi.
"Design and Analytical Validation of a Context-Aware Security Framework for Information-Sharing-Enabled Internet of Medical Things (IoMT) in Healthcare Systems."
Journal of Applied Science, Information and Computing
, vol. 7
, no. 1
, 2026
, pp. 40-52