Enhancing Industrial Control System Forensics Using Replication-Based Digital Twins

Dietz, Marietheres; Englbrecht, Ludwig; Pernul, Günther

doi:10.1007/978-3-030-88381-2_2

Advances in Digital Forensics XVII

2021

DOI: 10.1007/978-3-030-88381-2_2

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Enhancing Industrial Control System Forensics Using Replication-Based Digital Twins

Marietheres Dietz¹,

Ludwig Englbrecht²,

Günther Pernul³

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2023

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“…Simulation mode [9,22,23,[31][32][33][34][35][36][37][38][39]; • Replication mode [21,36,[40][41][42].…”

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confidence: 99%

Digital-Twin-Based Security Analytics for the Internet of Things

Empl

Pernul

2023

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Although there are numerous advantages of the IoT in industrial use, there are also some security problems, such as insecure supply chains or vulnerabilities. These lead to a threatening security posture in organizations. Security analytics is a collection of capabilities and technologies systematically processing and analyzing data to detect or predict threats and imminent incidents. As digital twins improve knowledge generation and sharing, they are an ideal foundation for security analytics in the IoT. Digital twins map physical assets to their respective virtual counterparts along the lifecycle. They leverage the connection between the physical and virtual environments and manage semantics, i.e., ontologies, functional relationships, and behavioral models. This paper presents the DT2SA model that aligns security analytics with digital twins to generate shareable cybersecurity knowledge. The model relies on a formal model resulting from previously defined requirements. We validated the DT2SA model with a microservice architecture called Twinsight, which is publicly available, open-source, and based on a real industry project. The results highlight challenges and strategies for leveraging cybersecurity knowledge in IoT using digital twins.

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“…Simulation mode [9,22,23,[31][32][33][34][35][36][37][38][39]; • Replication mode [21,36,[40][41][42].…”

mentioning

confidence: 99%

Digital-Twin-Based Security Analytics for the Internet of Things

Empl

Pernul

2023

Information

Self Cite

View full text Add to dashboard Cite

show abstract

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Enhancing Industrial Control System Forensics Using Replication-Based Digital Twins

Cited by 1 publication

References 26 publications

Digital-Twin-Based Security Analytics for the Internet of Things

Digital-Twin-Based Security Analytics for the Internet of Things

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