BLOCKCHAIN AND THE INTERNET OF THINGS (IOT): A CONVERGENCE OF TECHNOLOGIES

Dr. Gargishankar Verma · Aadam Quraishi · Ismail Keshta · Dr. Haewon Byeon

Oct 2023 · Xoffencerpublication

Ebook

207

Pages

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About this ebook

The Internet of Things (IoT) is a technology that enables a network of physical items (things) to sense physical events, transmit data, and interact with their environment in order to make decisions or monitor certain processes and occurrences without the need for human contact. This may be accomplished through the use of the internet. The desire to make it simpler to collect data in real time and to offer automatic and remotecontrol mechanisms as a substitute for the conventional monitoring and control systems used in many sectors today was one of the most significant reasons for the development of IoT systems. This goal has been one of the most important reasons for the development of IoT systems. Manufacturing, environmental monitoring, digital agriculture, smart cities and homes, business management, and asset tracking are some of the sectors that fall under this category. It is expected that the number of devices that are connected to one another will have topped 20 billion by the year 2020. Because of these growing demands and the huge penetration of IoT across a wide variety of rising industries, quick innovation in the existing IoT protocols, technologies, and architectures is necessary, as well as significant work to define IoT standards that will enable these developments. The Internet of Things (IoT) generates large volumes of data, which demands the availability of network connectivity as well as power, processing, and storage resources in order to transform this data into information or services that have any value. When implementing IoT networks, it is vital to emphasize cybersecurity and data privacy in addition to guaranteeing consistent connections and the scalability of the network. Other important considerations include ensuring that the network can be expanded. At the moment, centralized architectural models are utilized in an extensive manner to authenticate, authorize, and link the numerous nodes that make up an Internet of Things network. Moreover, these models are used to represent the Internet of Things. Because there will be a rising number of devices, which might reach hundreds of billions, centralized systems will break down and fail when the centralized server is not accessible. As a potential answer to this issue, a decentralized architecture for the Internet of Things was proposed. This design relocates some of the processing tasks that occur within the network to the periphery of the network.

About the author

Dr. Gargishankar Verma received Ph.D from C M J University Meghalaya, in the Computer Science Enngineering. Currently he is working in Columbia Institute of Engineering and Technology Raipur as Associate Professor in the Department of Computer Science and Engineering Department. He has more than 20 years of experience in teaching and research.

Aadam Quraishi M.D is a physician based in Houston Texas. His background includes machine learning. His company custom fine tunes foundational models with organization specific data utilizing enterprise AI for business throughput optimization.

Ismail Keshta received his B.Sc. and the M.Sc. degrees in computer engineering and his Ph.D. in computer science and engineering from the King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia, in 2009, 2011, and 2016, respectively. He was a lecturer in the Computer Engineering Department of KFUPM from 2012 to 2016. Prior to that, in 2011, he was a lecturer in Princess Nourahbint Abdulrahman University and Imam Muhammad ibn Saud Islamic University, Riyadh, Saudi Arabia. He is currently an assistant professor in the computer science and information systems department of AlMaarefa University, Riyadh, Saudi Arabia. His research interests include software process improvement, modeling, and intelligent systems.

Dr. Haewon Byeon received the Dr Sc degree in Biomedical Science from Ajou University School of Medicine. Haewon Byeon currently works at the Department of Medical Big Data, Inje University. His recent interests focus on health promotion, AImedicine, and biostatistics. He is currently a member of international committee for a Frontiers in Psychiatry, and an editorial board for World Journal of Psychiatry. Also, He were worked on 4 projects (Principal Investigator) from the Ministry of Education, the Korea Research Foundation, and the Ministry of Health and Welfare. Byeon has published more than 343 articles and 19 books.

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