Data Security Management Framework for Digital Twins of Industrial Pipeline

Anda, Ilyasu, Mishra, Rakesh, Aliyu, Aliyu and , (2022) Data Security Management Framework for Digital Twins of Industrial Pipeline. In: ICMIAM, 12-15 December 2021, Ballarat, Australia.

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


Digital Twin (DT) is an emerging technology that is a cornerstone of the 4 th industrial revolution. Over the next decade, it is expected to revolutionise industrial processes via Internet of Things (IoT) and other enabling technologies such as 5G for better performance and safety. DT as a real time virtual representation of any physical system is envisaged to ensure better connectivity of industrial processes, increased speed of decision making and effective prediction that could lead to optimised performance enhancement at various levels in the business chain. However, unsecured, or poorly secured DTs can cause serious harm to an enterprise in key industrial sectors such as manufacturing and oil and gas which are of utmost importance to the world’s economy. The focus of this paper, therefore, is to identify security vulnerabilities of DTs in applied to the oil and gas industry and analyse effective security frameworks for monitoring oil and gas pipeline data and its transmission over various networks including through the Cloud. This is to prevent man-in-the-middle-attacks and reduce economic losses that can result. Furthermore, important considerations on the data attributes will be explored. These include accuracy of the data transmitted under various security implementation regimes, its completeness, and transmission delay of the various frameworks.

Keywords:Digital Twins, Pipelines
Subjects:G Mathematical and Computer Sciences > G760 Machine Learning
H Engineering > H800 Chemical, Process and Energy Engineering
H Engineering > H300 Mechanical Engineering
Divisions:College of Science > School of Engineering
ID Code:48393
Deposited On:07 Mar 2022 12:02

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