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Digital twins in cyber effects modelling of IoT/CPS points of low resilience

Ani, Uchenna

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Abstract

The exponential increase of data volume and velocity have necessitated a tighter linkage of physical and cyber components in modern Cyber–physical systems (CPS) to achieve faster response times and autonomous component reconfiguration. To attain this degree of efficiency, the integration of virtual and physical components reinforced by artificial intelligence also promises to improve the resilience of these systems against organised and often skillful adversaries. The ability to visualise, validate, and illustrate the benefits of this integration, while taking into account improvements in cyber modelling and simulation tools and procedures, is critical to that adoption. Using Cyber Modelling and Simulation (M&S) this study evaluates the scale and complexity required to achieve an acceptable level of cyber resilience testing in an IoT-enabled critical national infrastructure (CNI). This research focuses on the benefits and challenges of integrating cyber modelling and simulation (M&S) with digital twins and threat source characterisation methodologies towards a cost-effective security and resilience assessment. Using our dedicated DT environment, we show how adversaries can utilise cyber–physical systems as a point of entry to a broader network in a scenario where they are trying to attack a port.

Acceptance Date Feb 27, 2023
Publication Date May 15, 2023
Journal Simulation Modelling Practice and Theory
Print ISSN 1569-190X
Electronic ISSN 1878-1462
Publisher Elsevier
Volume 125
Article Number 102744
DOI https://doi.org/10.1016/j.simpat.2023.102744
Keywords CPS; Cyber resilience; Digital twins; Cyber M&, IoT
Publisher URL https://www.sciencedirect.com/science/article/pii/S1569190X23000229?via%3Dihub

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