IoT Solution for AI-Enabled PRIVACY-PREServing with Big Data Transferring: An Application for Healthcare Using Blockchain

Mohamed Elhoseny, Khalid Haseeb, Asghar Ali Shah, Irshad Ahmad, Zahoor Jan and Mohammed. I. Alghamdi
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Mohamed Elhoseny: Faculty of Computers and Information, Mansoura University, Mansoura 35516, Egypt
Khalid Haseeb: Department of Computer Science, Islamia College Peshawar, Peshawar 25120, Pakistan
Asghar Ali Shah: Department of Computer Science, Bahria University Lahore Campus, Lahore 54600, Pakistan
Irshad Ahmad: Department of Computer Science, Islamia College Peshawar, Peshawar 25120, Pakistan
Zahoor Jan: Department of Computer Science, Islamia College Peshawar, Peshawar 25120, Pakistan
Mohammed. I. Alghamdi: Department of Computer Science, Al-Baha University, Al Bahah 1988, Saudi Arabia

Energies, 2021, vol. 14, issue 17, 1-17

Abstract: Internet of Things (IoT) performs a vital role in providing connectivity between computing devices, processes, and things. It significantly increases the communication facilities and giving up-to-date information to distributed networks. On the other hand, the techniques of artificial intelligence offer numerous and valuable services in emerging fields. An IoT-based healthcare solution facilitates patients, hospitals, and professionals to observe real-time and critical data. In the literature, most of the solution suffers from data intermission, high ethical standards, and trustworthiness communication. Moreover, network interruption with recurrent expose of sensitive and personal health data decreases the reliance on network systems. Therefore, this paper intends to propose an IoT solution for AI-enabled privacy-preserving with big data transferring using blockchain. Firstly, the proposed algorithm uses a graph-modeling to develop a scalable and reliable system for gathering and transmitting data. In addition, it extracts the subset of nodes using the artificial intelligence approach and achieves efficient services for the healthcare system. Secondly, symmetric-based digital certificates are utilized to offer authentic and confidential transmission with communication resources using blockchain. The proposed algorithm is explored with existing solutions through multiple simulations and proved improvement in terms of realistic parameters.

Keywords: Internet of things; embedded applications; big data; insecure channels; constraint network (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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