Study
Commercial ProductionRecentStrong effect

Digital Twins Enhance Cyber Resilience Testing in Critical Infrastructure

Integrating digital twins with cyber modelling and simulation (M&S) can significantly improve the resilience testing of Internet of Things (IoT) enabled critical national infrastructure (CNI) against sophisticated cyber threats.

Simulation Modelling Practice and Theory · 2023

01

Key Findings

  • 01Digital twins, when combined with cyber M&S, can effectively model and test the resilience of complex IoT/CPS.
  • 02Adversaries can exploit cyber-physical systems as entry points into broader networks.
  • 03The integration of digital twins and threat characterization offers a cost-effective approach to security and resilience assessment.
02

Application

Design takeaway

Implement digital twin simulations as a standard practice for testing the cyber resilience of IoT-enabled critical systems to proactively identify and mitigate vulnerabilities.

How to apply

When designing or assessing IoT-enabled critical infrastructure, create a digital twin to simulate various cyber-attack scenarios and evaluate the system's response and recovery capabilities.

Project actions

  • 01Consider using simulation software to create a digital twin of a system you are designing.
  • 02Identify potential cyber threats relevant to your system and simulate their impact on the digital twin.
03

Method & Evidence

AimTo evaluate the scale and complexity required for acceptable cyber resilience testing in IoT-enabled CNI by integrating digital twins with cyber M&S and threat characterization.
MethodSimulation Modelling
ProcedureThe study developed a dedicated digital twin environment to simulate cyber-physical systems and assess their resilience. It evaluated the integration of digital twins with M&S tools and threat source characterization methodologies to identify vulnerabilities and test security measures, using a port attack scenario as a case study.
ContextCyber-physical systems, Internet of Things (IoT), Critical National Infrastructure (CNI), Cyber Security, Resilience Testing

Variables

IVIntegration of Digital Twins with Cyber M&S, Threat Source Characterization
DVCyber Resilience Testing Effectiveness, System Vulnerabilities
CVScale and Complexity of the IoT/CPS, Type of Critical National Infrastructure
04

Strengths & Limitations

Strengths

  • +Focuses on a critical and increasingly relevant area of cyber security for infrastructure.
  • +Proposes a practical integration of digital twins and M&S for resilience assessment.

Limitations

Building an accurate and comprehensive digital twin can be time-consuming and resource-intensive.

Reliability & validity

The reliability of the findings would depend on the robustness of the simulation environment and the repeatability of the simulated attacks. Validity is enhanced by the focus on real-world CNI scenarios.

Think critically

How might the fidelity of the digital twin impact the validity of the resilience testing results?

05

Design Principles

"Virtual validation of cyber-physical system resilience is crucial for robust security."

As systems become more interconnected, understanding their vulnerabilities to cyber-attacks is paramount. Digital twins offer a virtual environment to rigorously test and validate resilience strategies before deployment, reducing risks and ensuring operational continuity.

06

What This Means for Your Design

Using a virtual copy (digital twin) of a real-world system helps test how well it can withstand cyber-attacks before real problems happen.

How to use in your project

  • 1.Reference this study when discussing the importance of security testing for cyber-physical systems in your design project.
07

Add to My Project

08

Quick Cite

(2023). Digital twins in cyber effects modelling of IoT/CPS points of low resilience. Simulation Modelling Practice and Theory. https://doi.org/10.1016/j.simpat.2023.102744 Retrieved from https://designdex.org/study/44ac7e94-e6c4-40bf-9dd7-4b8e37cf04a9/digital-twins-enhance-cyber-resilience-testing-in-critical-infrastructure

Paragraph starter

The integration of digital twins with cyber modelling and simulation, as demonstrated by Epiphaniou et al. (2023), offers a powerful methodology for evaluating and enhancing the cyber resilience of critical national infrastructure. This approach allows for rigorous testing of system vulnerabilities against sophisticated threats in a controlled virtual environment, thereby informing design decisions aimed at bolstering security and ensuring operational continuity.

09

Source

Simulation Modelling Practice and Theory

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

journal · 2023

View source

Questions about this research

What does the research say about digital twins enhance cyber resilience testing in critical infrastructure?
Implement digital twin simulations as a standard practice for testing the cyber resilience of IoT-enabled critical systems to proactively identify and mitigate vulnerabilities. Evidence: Simulation Modelling Practice and Theory (2023).
Why does "Digital Twins Enhance Cyber Resilience Testing in Critical Infrastructure" matter for design?
As systems become more interconnected, understanding their vulnerabilities to cyber-attacks is paramount. Digital twins offer a virtual environment to rigorously test and validate resilience strategies before deployment, reducing risks and ensuring operational continuity.
How can designers apply this research?
Implement digital twin simulations as a standard practice for testing the cyber resilience of IoT-enabled critical systems to proactively identify and mitigate vulnerabilities.
What were the main findings?
Digital twins, when combined with cyber M&S, can effectively model and test the resilience of complex IoT/CPS.. Adversaries can exploit cyber-physical systems as entry points into broader networks.. The integration of digital twins and threat characterization offers a cost-effective approach to security and resilience assessment.
What research method was used?
Simulation Modelling.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2023 journal from Simulation Modelling Practice and Theory.
What should I do differently in my next project?
When designing or assessing IoT-enabled critical infrastructure, create a digital twin to simulate various cyber-attack scenarios and evaluate the system's response and recovery capabilities.
What are the limitations?
The complexity and scale required for acceptable testing can be substantial, and the effectiveness may depend on the fidelity of the digital twin and the accuracy of threat characterization.
Is there evidence that digital twins affects design outcomes?
The research demonstrates that using digital twins in cyber modelling and simulation allows for thorough testing of critical infrastructure's defenses against cyber-attacks, highlighting how these systems can be entry points for broader network breaches. As systems become more interconnected, understanding their vulner Source: Simulation Modelling Practice and Theory (2023).
Where does this cyber resilience research apply?
Cyber-physical systems, Internet of Things (IoT), Critical National Infrastructure (CNI), Cyber Security, Resilience Testing It sits within commercial production research on designdex.org.

Related research topics

digital twins design research · evidence on digital twins · does digital twins improve design outcomes · cyber resilience studies for designers · digital twins and cyber resilience findings · commercial production research evidence