Tahmasib Fataliyev

Work place: Institute of Information Technology of ANAS, B. Vahabzadeh street, 9A, Baku, AZ1143, Azerbaijan



Research Interests: Data Structures and Algorithms, Computer Networks


Tahmasib Khanahmad Fataliyev graduated from the Automation and Computer Engineering faculty of Azerbaijan Polytechnic University. His primary research interests include various areas in e-science, data processing and computer networks. He is head of the department at the Institute of Information Technology of ANAS, Azerbaijan. He is the author of above 100 scientific papers.

Author Articles
Industry 4.0: The Oil and Gas Sector Security and Personal Data Protection

By Tahmasib Fataliyev Shakir Mehdiyev

DOI: https://doi.org/10.5815/ijem.2020.02.01, Pub. Date: 8 Apr. 2020

Industry 4.0 is directly connected to the Internet of things, cyber-physical systems, artificial intelligence, robotics and other advanced technologies. It is these technologies that made fully automated digital production, controlled by intelligent systems in real-time with constant interaction via the Internet, a reality. They turned the production system into a “smart network factory”, where all activities are digitally controlled, and the use of financial and material resources becomes more efficient. Along with this, in Industry 4.0, a significant increase in data volumes brought to the forefront data protection issues, including in such a sensitive area as personal data. Illegitimate methods of using personal data to obtain additional preferences have become the goal of some communities of people. Video surveillance data are an integral part of personal data, therefore protection of personal data processed in video surveillance systems has been given increased attention. The video surveillance system includes video cameras, information and communication channels for data transmission, processing devices, analytics and personal data storage. The proposed model is a subsystem of smart video surveillance in the oil and gas sector, that consisting of such subsystems as a smart field, smart grid, smart maintenance, smart transportation, smart security, etc. Conceptual tasks are considered and recommendations for their solution are given.

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