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.
|Title of host publication||International Conference on Maintenance and Intelligent Asset Management (ICMIAM), 2021|
|Number of pages||5|
|Publication status||Published - 12 Dec 2021|
|Event||International Conference on Maintenance and Intelligent Asset Management - Federation University Ballarat , Ballarat, Australia|
Duration: 12 Dec 2021 → 15 Dec 2021
|Conference||International Conference on Maintenance and Intelligent Asset Management|
|Period||12/12/21 → 15/12/21|