Work place: Department of Electrical Engineering, University of Mosul, Mosul, Iraq
E-mail: myounisth@uomosul.edu.iq
Website:
Research Interests: Neural Networks, Computer Networks
Biography
Mohammed Younis Thanoun completed the B.S. in electrical engineering/ electronic and communication from the University of Mosul, Iraq, in 1991 and received the M.Sc. degree in electronic and communication in 2000 and Ph.D. in 2011 from Mosul University. He is interested in the field of computer networks and communication and he has published research papers in Deep Learning, SDN, machine learning algorithms and cybersecurity engineering He has been working as an assistant professor at the University of Mosul since 2021. He is a member of the computer networks lab in the Electrical Dept. / Engineering College.
By Dina Riyadh Ibrahim Mohammed Younis Thanoun
DOI: https://doi.org/10.5815/ijwmt.2024.06.05, Pub. Date: 8 Dec. 2024
The technology-based lifestyle has led to a rise in people suffering from obesity, which in turn has led to the emergence of many chronic diseases such as elevated blood sugar and blood pressure, this give researchers a good reasons to develop Internet of Things networks, as the entry of technical innovations has led to Artificial intelligence in the medical field has revolutionized the provision of medical services and facilitated the lives of patients, from monitoring blood sugar levels to using remote surgery techniques, as it has saved a lot of effort and money for both the doctor and the patient at the same time, but these advantages open a wide scope for many problems as well. This survey studied the medical Internet of Things network in terms of presenting the definition, structure, types of devices used, their applications, and some of the communication protocols used in it. The attacks that the medical Internet of Things network may be exposed to were also classified based on the concerns they cause, and the solutions proposed by the researchers were presented. On the other hand, the previous works of the researchers were classified according to the types of devices used, communication protocols, and network security. In each of the mentioned parts, what the researchers have done and their contributions in this field were discussed, analyzed, and a review of the proposed future works in the used literature was presented.
[...] Read more.By Yazen S. Sheet Mohammed Younis Thanoun Firas S. Alsharbaty
DOI: https://doi.org/10.5815/ijwmt.2024.04.03, Pub. Date: 8 Aug. 2024
Smart factory represents one of the main Industrial Internet of Things applications that contribute in the industrial activities in the smart cities. This field acquires a special attention with the age of industry 4 from upgrading the passive machine into cyber physical system point of view. However, the process of developing the traditional factory into smart factory faces some issues regarding to handle smart and safe management such as handling the requirements of smart factory applications and the communication networks that should transfer the data among different parts. The current review paper highlights the up-to-date related works in the field of industry 4 in terms of industrial internet of things (IIoT) to filling the gap between the operational technologies and information technologies. Hence, the different architectures of IIoT are taken into consideration of research paper scope in terms of investigation and analysis. This work concentrates on the smart factory application and aims to connect between applications requirements and communication networks in the field of the smart factory in order to hold the optimum management to this aspect. Moreover, the expected cyberthreats and cyberattacks in the smart factory are captured in this work to explain the suitable countermeasures against such cyberattacks.
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