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.
Highlights
In recent decades, wireless communication plays a vital role in the medical industry’s growth, smart cities, vehicular and transportation systems using Internet of Things (IoT) networks [1,2,3]
In [33], the authors proposed an improved secure authentication and data encryption scheme for medical systems using the Internet of things (IoT)
37% compared to existing solutions. This is due to the proposed AI-EPP algorithm incorporating the public key-based digital certificates for routing nodes, and only the authorized nodes are eligible for data transmission
Summary
Wireless communication plays a vital role in the medical industry’s growth, smart cities, vehicular and transportation systems using IoT networks [1,2,3]. In medical applications [7,8,9], the medical experts access the patients’ information from centralized or distributed servers using the internet through some developing next-generation wireless techniques. The purpose of this research work is to explore blockchain, which is an emerging technology [20,21] to improve the performance of the healthcare system against security extortions with efficient data management. Blockchain is an emerging technology and has been applied by many researchers to secure confidential data over insecure transmission systems [22,23]. The main contributions of our proposed solution are: i It presents a graph-oriented model for collecting and distributing network information with an accessible and efficient system.
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