Abstract
The Internet of Healthcare Things (IoHT) is a rising smart ubiquitous structure that interconnects shrewd gadgets, devices, stakeholders (e.g., specialists, patients, caregivers, researcher, and so on.), and infrastructure utilizing smart sensors. Over the past decade, exposure to modern devices and data sensing and analysis strategies has allowed numerous analysts to develop and deliver personalized IoHT services. This brought about an impressive number of examination results tending to the applications, difficulties, and likely arrangements focusing on secured communication inside the IoHT system. Despite sizable efforts devoted to it, secured service provisioning is a first-rate mission yet. This research aims at providing a multi-layer security framework for heterogeneous IoHT systems using bayesian inference based trust management with the digitally signed blockchain network that includes individual node and data protection. The simulation results reveal the feasibility and effectiveness of the proposed dynamic approach regarding malicious node detection.
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This work is funded by the ICT Division, Government of the People’s Republic of Bangladesh.
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Farhin, F., Kaiser, M.S., Mahmud, M. (2021). Secured Smart Healthcare System: Blockchain and Bayesian Inference Based Approach. In: Kaiser, M.S., Bandyopadhyay, A., Mahmud, M., Ray, K. (eds) Proceedings of International Conference on Trends in Computational and Cognitive Engineering. Advances in Intelligent Systems and Computing, vol 1309. Springer, Singapore. https://doi.org/10.1007/978-981-33-4673-4_36
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DOI: https://doi.org/10.1007/978-981-33-4673-4_36
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