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Integrating digital twin security simulations in the security operations center

Authors:

Marietheres Dietz,

Manfred Vielberth,

Günther PernulAuthors Info & Claims

ARES '20: Proceedings of the 15th International Conference on Availability, Reliability and Security

Article No.: 18, Pages 1 - 9

https://doi.org/10.1145/3407023.3407039

Published: 25 August 2020 Publication History

Abstract

While industrial environments are increasingly equipped with sensors and integrated to enterprise networks, current security strategies are generally not prepared for the growing attack surface that resides from the convergence of their IT infrastructure with the industrial systems. As a result, the organizations responsible for corporate security, the Security Operations Center (SOC), are overwhelmed with the integration of the industrial systems.

To facilitate monitoring the industrial assets, digital twins represent a helpful novel concept. They are the virtual counterparts of such assets and provide valuable insights through collecting asset-centric data, analytic capabilities and simulations. Moreover, digital twins can assist enterprise security by simulating attacks and analyzing the effect on the virtual counterpart. However, the integration of digital twin security simulations into enterprise security strategies, that are mainly controlled by the SOC, is currently neglected.

To close this research gap, this work develops a process-based security framework to incorporate digital twin security simulations in the SOC. In the course of this work, a use case along with a digital twin-based security simulation provides proof of concept. It is demonstrated how a man-in-the-middle attack can be performed in a simulated industry setting and how it affects the systems. Moreover, we show how the resulting system logs can support the SOC by building technical rules to implement in Security Information and Event Management (SIEM) systems.

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Cited By

Infante SRobles JMartín CRubio BDíaz M(2025)Distributed digital twins on the open-source OpenTwins frameworkAdvanced Engineering Informatics10.1016/j.aei.2024.10297064(102970)Online publication date: Mar-2025
https://doi.org/10.1016/j.aei.2024.102970
Maiwada UDanyaro KSarlan ALiew MTaiwo AAudi U(2024)Energy efficiency in 5G systemsInternational Journal of Knowledge-based and Intelligent Engineering Systems10.3233/KES-23006128:1(93-132)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.3233/KES-230061
Erba AMurillo ATaormina RGalelli STippenhauer NSun RZhang M(2024)On Practical Realization of Evasion Attacks for Industrial Control SystemsProceedings of the 2024 Workshop on Re-design Industrial Control Systems with Security10.1145/3689930.3695213(9-25)Online publication date: 20-Nov-2024
https://dl.acm.org/doi/10.1145/3689930.3695213
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Index Terms

Integrating digital twin security simulations in the security operations center
1. Computer systems organization
  1. Embedded and cyber-physical systems

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Published In

cover image ACM Other conferences

ARES '20: Proceedings of the 15th International Conference on Availability, Reliability and Security

August 2020

1073 pages

ISBN:9781450388337

DOI:10.1145/3407023

Program Chairs:
Melanie Volkamer
Karlsruhe Institute of Technologie (KIT), Competence Center for Applied Security Technology (KASTEL)
,
Christian Wressnegger
Karlsruhe Institute of Technologie (KIT), Competence Center for Applied Security Technology (KASTEL)

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 August 2020

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ARES 2020

ARES 2020: The 15th International Conference on Availability, Reliability and Security

August 25 - 28, 2020

Virtual Event, Ireland

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Overall Acceptance Rate 228 of 451 submissions, 51%

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Cited By

Infante SRobles JMartín CRubio BDíaz M(2025)Distributed digital twins on the open-source OpenTwins frameworkAdvanced Engineering Informatics10.1016/j.aei.2024.10297064(102970)Online publication date: Mar-2025
https://doi.org/10.1016/j.aei.2024.102970
Maiwada UDanyaro KSarlan ALiew MTaiwo AAudi U(2024)Energy efficiency in 5G systemsInternational Journal of Knowledge-based and Intelligent Engineering Systems10.3233/KES-23006128:1(93-132)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.3233/KES-230061
Erba AMurillo ATaormina RGalelli STippenhauer NSun RZhang M(2024)On Practical Realization of Evasion Attacks for Industrial Control SystemsProceedings of the 2024 Workshop on Re-design Industrial Control Systems with Security10.1145/3689930.3695213(9-25)Online publication date: 20-Nov-2024
https://dl.acm.org/doi/10.1145/3689930.3695213
Heluany JAmro AGkioulos VKatsikas S(2024)Interplay of Digital Twins and Cyber Deception: Unraveling Paths for Technological AdvancementsProceedings of the 2024 ACM/IEEE 4th International Workshop on Engineering and Cybersecurity of Critical Systems (EnCyCriS) and 2024 IEEE/ACM Second International Workshop on Software Vulnerability10.1145/3643662.3643955(20-28)Online publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1145/3643662.3643955
Luzzi JNaha RArulappan AMahanti A(2024)SoK: A Holistic View of Cyberattacks Prediction with Digital Twins2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE)10.1109/ic-ETITE58242.2024.10493514(1-7)Online publication date: 22-Feb-2024
https://doi.org/10.1109/ic-ETITE58242.2024.10493514
Ma JGuo YFang CZhang Q(2024)Digital-Twin-Based CPS Anomaly Diagnosis and Security Defense Countermeasure RecommendationIEEE Internet of Things Journal10.1109/JIOT.2024.336690411:10(18726-18738)Online publication date: 15-May-2024
https://doi.org/10.1109/JIOT.2024.3366904
Lo CWin TRezaeifar ZKhan ZLegg P(2024)Digital Twins of Cyber Physical Systems in Smart Manufacturing for Threat Simulation and Detection with Deep Learning for Time Series Classification2024 29th International Conference on Automation and Computing (ICAC)10.1109/ICAC61394.2024.10718749(1-6)Online publication date: 28-Aug-2024
https://doi.org/10.1109/ICAC61394.2024.10718749
Jeremiah SEl Azzaoui AXiong NPark J(2024)A comprehensive survey of digital twinsJournal of Systems Architecture: the EUROMICRO Journal10.1016/j.sysarc.2024.103120151:COnline publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1016/j.sysarc.2024.103120
Sarker IJanicke HMohsin AGill AMaglaras L(2024)Explainable AI for cybersecurity automation, intelligence and trustworthiness in digital twin: Methods, taxonomy, challenges and prospectsICT Express10.1016/j.icte.2024.05.00710:4(935-958)Online publication date: Aug-2024
https://doi.org/10.1016/j.icte.2024.05.007
Krishnaveni SChen TSathiyanarayanan MAmutha B(2024)CyberDefender: an integrated intelligent defense framework for digital-twin-based industrial cyber-physical systemsCluster Computing10.1007/s10586-024-04320-x27:6(7273-7306)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1007/s10586-024-04320-x
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