Context-Based Adaptive Fog Computing Trust Solution for Time-Critical Smart Healthcare Systems
Almas A. Iqbal W. Altaf A. Saleem K. Mussiraliyeva S. Iqbal M.W.
15 June 2023Institute of Electrical and Electronics Engineers Inc.
IEEE Internet of Things Journal
2023#10Issue 1210575 - 10586 pp.
Fogs inherent decentralized nature and ability to process data in transit, i.e., the ability to draw conclusions in real-time, are quite suitable for scenarios where an enormous number of decentralized devices need to communicate and provide live analysis of data and storage tasks. Fog computings ability to work close to the end user and non-reliance on centralized architecture provides the dependability that time-critical smart healthcare systems need. Because of the critical nature of healthcare data, better security and privacy solutions for fog computing are required, with trust being of the utmost importance. Context-dependent trust solution for fogs is still an open research area, so the aim of this research is to propose a context-based adaptive trust solution for smart healthcare environments using a Bayesian approach and similarity measures. The proposed trust model has been simulated in Contiki, Cooja, and a Java-based application has been developed to analyze our results. Adaptive weights assigned to direct and indirect trust using entropy values ensure the minimization of trust bias as opposed to static weighting. Context-based similarity calculations filter out recommender nodes with malicious intent using server, social contact, and service similarity. This model is efficient and has a low-trust computation overhead because it has a linear complexity of O(n).
Adaptive , context , fog computing , Internet of Things (IoT) , similarity trust , smart healthcare , trust management systems (TMS)
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National University of Sciences and Technology, Department of Information Security, Islamabad, 44000, Pakistan
University of Engineering and Technology, Department of Computer Science, Lahore, 54890, Pakistan
King Saud University, College of Applied Studies and Community Service, Department of Computer Sciences and Engineering, Riyadh, 11362, Saudi Arabia
Al-Farabi Kazakh National University, Department of Information Systems, Almaty, 050040, Kazakhstan
National University of Sciences and Technology
University of Engineering and Technology
King Saud University
Al-Farabi Kazakh National University
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