Yazen S. Sheet

Work place: Department of Electrical Engineering, University of Mosul, Mosul, Iraq

E-mail: yazenalnuaimi@uomosul.edu.iq

Website:

Research Interests: Neural Networks, Computer Networks

Biography

Yazen S. Sheet completed the B.S. in electrical engineering/electronics and communication from the University of Mosul, Iraq, in 2005 and received an M.Sc. degree in computer networks in 2011 from Mosul University. He interested in the field of computer networks and communication and he had published many papers in this field. He has been working as a communications and computer network lecturer at the University of Mosul Since 2011. He is a member of the computer networks lab in the Electrical Dept. / Engineering College.

Author Articles
Smart Factory based on IIoT: Applications, Communication Networks and Cybersecurity

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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