Data Security Management Framework for Digital Twins of Industrial Pipeline

Ilyasu Anda, Rakesh Mishra, Aliyu Aliyu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationInternational Conference on Maintenance and Intelligent Asset Management (ICMIAM), 2021
Number of pages5
ISBN (Electronic)9781665466714
ISBN (Print)9781665466721
Publication statusPublished - 12 Dec 2021
EventInternational Conference on Maintenance and Intelligent Asset Management - Federation University Ballarat , Ballarat, Australia
Duration: 12 Dec 202115 Dec 2021


ConferenceInternational Conference on Maintenance and Intelligent Asset Management
Abbreviated titleICMIAM2021
Internet address


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