Harnessing Digital Twin Security Simulations for systematic Cyber Threat Intelligence

Dietz, Marietheres; Schlette, Daniel; Pernul, Günther

doi:10.1109/compsac54236.2022.00129

Cited by 6 publications

(4 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The formal model makes implementing software based on digital twins more feasible. We have found that replication-based digital twins fit real-time data processing, and the literature confirms that simulation works decoupled from the live system, e.g., Dietz et al [43]. Using an event-based microservice architecture ensures flexibility and real-time data processing.…”

Section: Resultssupporting

confidence: 71%

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

Empl

Pernul

2023

Information

View full text Add to dashboard Cite

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.

show abstract

Section: Resultssupporting

confidence: 71%

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

Empl

Pernul

2023

Information

View full text Add to dashboard Cite

show abstract

“…Though the integration of operational technology and IT systems in Industry 4.0 increases the risk of cyber attacks [13] and technologies like Digital Twin offer possibilities to improve security [14]. In fact, the literature review also suggests that Digital Twin can be applied to enhance security in Industry 4.0 applications across multiple sectors.…”

Section: Rq1: Digital Twin As Security Tool In Industry 40mentioning

confidence: 99%

“…A framework that utilizes Digital Twin as a simulation tool to generate Cyber Threat Intelligence (CTI) which can provide valuable threat information for organizations to improve their security postures, is presented in this study [14].…”

Section: Ics/cps Environment Use Casementioning

confidence: 99%

“…The majority of papers discussed setting up a digital twin in a standalone environment to enhance the security of a targeted industry [40,35,44,34]. However, we found a few papers that presented the idea of sharing cyber threat intelligence(CTI) [14,40] data generated using Digital Twin across industries to improve security collectively, which is a unique approach to using digital twin technology potentially having a significant impact on tackling big security problems, such as ransomware through sharable CTI. However, for this to be effective, we argue that the data-sharing process must happen in real-time with privacy in mind.…”

Section: F I G U R E 9 Evolution Of Digital Twin Over Timementioning

confidence: 99%

See 1 more Smart Citation

Systematic Literature Review: Digital Twins’ Role in Enhancing Security for Industry 4.0 Applications

El-Hajj,

Gebremariam,

Itapelo

2024

Preprint

View full text Add to dashboard Cite

Connectivity and data exchange are key features of Industry 4.0. In this paradigm, (Industrial) Internet of Things ((I)IoT) devices are a vital component facilitating the collection and transmission of environmental data from the physical sys- tem to the central station for processing and analysis(Digital Twin). However, although (I)IoT devices play a critical role in this process, they are not inherently equipped to run strong encryption mechanisms to secure the data they transmit over wired or wireless channels. This research aims to explore the potential of Digital Twins (DT) in securing Industry 4.0 appli- cations and the security mechanism employed to ensure con- fidentiality, integrity, and authentication of data communi- cated between (I)IoT and DT through a Systematic Literature Review (SLR). This systematic literature review, based on the analysis of 67 papers published between 2018 and 2023, un- derscores the evolving significance of Digital Twin technol- ogy, particularly within the ambit of Industry 4.0. The find- ings illuminate the pervasive influence of Digital Twin tech- nology across multiple industrial sectors. The result SLR re- vealed that DT is growing and being widely adopted as a se- curity tool particularly in Industry 4.0 using enabling tech- nology like machine learning, data analytics, blockchain, and 5G networks to provide security solutions such as intrusion detection, vulnerability assessment, cyber range, and threat intelligence.

show abstract