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A Resilience Component for a Digital Twin

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Foundations and Practice of Security (FPS 2023)

Abstract

Industry 4.0 has popularized Cyber-Physical Systems (CPSs), engineered systems integrating physical components with computerized controls for process management. Despite efforts by academia and industry to address CPSs challenges, security remains a key concern. This involves identifying vulnerabilities, weaknesses, and threats. The primary objectives of security are the evaluation of CPSs’ security status, uncovering flaws, and suggesting risk mitigation. Nevertheless, besides lists of several CPSs security improvement techniques and methodologies for detecting CPSs security issues, little emphasis is paid to their resolution. This paper analyzes existing techniques to enhance resilience in CPSs, encompassing both design and operational phases to mitigate identified risks. Additionally, we introduce the integration of a resilience component into a Digital Twin (DT) framework. This component utilizes the capabilities of the DT to oversee resilience mechanisms within the system, monitor system activity, and respond effectively to security events.

This work is partially supported by the European Union’s Horizon Europe research and innovation program under grant agreement No 101070455 (DYNABIC).

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Notes

  1. 1.

    https://github.com/SINTEF-9012/madt-neodash.

  2. 2.

    https://github.com/mobilityhouse/ocpp.

  3. 3.

    https://github.com/villekr/ocpp-asgi.

References

  1. Barbeau, M., Cuppens, F., Cuppens, N., Dagnas, R., Garcia-Alfaro, J.: Metrics to enhance the resilience of cyber-physical systems. In: 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), pp. 1167–1172 (2020). https://doi.org/10.1109/TrustCom50675.2020.00156

  2. Bécue, A., Maia, E., Feeken, L., Borchers, P., Praça, I.: A new concept of digital twin supporting optimization and resilience of factories of the future. Appl. Sci. 10(13), 4482 (2020). https://doi.org/10.3390/app10134482, https://www.mdpi.com/2076-3417/10/13/4482

  3. Brucherseifer, E., Winter, H., Mentges, A., Mühlhäuser, M., Hellmann, M.: Digital twin conceptual framework for improving critical infrastructure resilience. at - Automatisierungstechnik 69(12), 1062–1080 (2021). https://doi.org/10.1515/auto-2021-0104

  4. Cassottana, B., Roomi, M.M., Mashima, D., Sansavini, G.: Resilience analysis of cyber-physical systems: a review of models and methods. Risk Anal. (2023). https://doi.org/10.1111/risa.14089

    Article  Google Scholar 

  5. Chen, H.: Applications of cyber-physical system: a literature review. J. Ind. Integr. Manage. 02(03), 1750012 (2017). https://doi.org/10.1142/S2424862217500129

    Article  Google Scholar 

  6. Colabianchi, S., Costantino, F., Di Gravio, G., Nonino, F., Patriarca, R.: Discussing resilience in the context of cyber physical systems. Comput. Ind. Eng. 160, 107534 (2021). https://doi.org/10.1016/j.cie.2021.107534

    Article  Google Scholar 

  7. Committee, D.R.S., et al.: DHS risk lexicon. Department of Homeland Security. Technical report (2008)

    Google Scholar 

  8. Ding, D., Han, Q.L., Xiang, Y., Ge, X., Zhang, X.M.: A survey on security control and attack detection for industrial cyber-physical systems. Neurocomputing 275, 1674–1683 (2018). https://doi.org/10.1016/j.neucom.2017.10.009

    Article  Google Scholar 

  9. Faleiro, R., Pan, L., Pokhrel, S.R., Doss, R.: Digital twin for cybersecurity: towards enhancing cyber resilience. In: Xiang, W., Han, F., Phan, T.K. (eds.) BROADNETS 2021. LNICST, vol. 413, pp. 57–76. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-93479-8_4

    Chapter  Google Scholar 

  10. Haque, M.A., Shetty, S., Krishnappa, B.: Cyber-Physical Systems Resilience: Frameworks, Metrics, Complexities, Challenges, and Future Directions, Chapter 12 (2019)

    Google Scholar 

  11. Hussaini, A., Qian, C., Liao, W., Yu, W.: A taxonomy of security and defense mechanisms in digital twins-based cyber-physical systems. In: 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), pp. 597–604 (2022). https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00112

  12. Lektauers, A., Pecerska, J., Bolsakovs, V., Romanovs, A., Grabis, J., Teilans, A.: A multi-model approach for simulation-based digital twin in resilient services. WSEAS Trans. Syst. Control. 16, 133–145 (2021). https://doi.org/10.37394/23203.2021.16.10

  13. Paul, S., Ding, F., Utkarsh, K., Liu, W., O’Malley, M.J., Barnett, J.: On vulnerability and resilience of cyber-physical power systems: a review. IEEE Syst. J. 16(2), 2367–2378 (2022). https://doi.org/10.1109/JSYST.2021.3123904

    Article  Google Scholar 

  14. Pivoto, D.G., de Almeida, L.F., da Rosa Righi, R., Rodrigues, J.J., Lugli, A.B., Alberti, A.M.: Cyber-physical systems architectures for industrial internet of things applications in industry 4.0: a literature review. J. Manuf. Syst. 58, 176–192 (2021). https://doi.org/10.1016/j.jmsy.2020.11.017, https://www.sciencedirect.com/science/article/pii/S0278612520302119

  15. Saad, A., Faddel, S., Youssef, T., Mohammed, O.A.: On the implementation of IoT-based digital twin for networked microgrids resiliency against cyber attacks. IEEE Trans. Smart Grid 11(6), 5138–5150 (2020). https://doi.org/10.1109/TSG.2020.3000958

    Article  Google Scholar 

  16. Segovia, M., Garcia-Alfaro, J.: Design, modeling and implementation of digital twins. Sensors 22(14), 5396 (2022). https://doi.org/10.3390/s22145396, https://www.mdpi.com/1424-8220/22/14/5396

  17. Segovia, M., Rubio-Hernan, J., Cavalli, A.R., Garcia-Alfaro, J.: Cyber-resilience evaluation of cyber-physical systems. In: 2020 IEEE 19th International Symposium on Network Computing and Applications (NCA), pp. 1–8 (2020). https://doi.org/10.1109/NCA51143.2020.9306741

  18. Segovia., M., Rubio-Hernan., J., Cavalli., A.R., Garcia-Alfaro., J.: Switched-based control testbed to assure cyber-physical resilience by design. In: Proceedings of the 19th International Conference on Security and Cryptography - SECRYPT, pp. 681–686. INSTICC, SciTePress (2022). https://doi.org/10.5220/0011327300003283

  19. of Standards, N.I., Technology: Guide for conducting risk assessments. Technical report (2012). https://doi.org/10.6028/nist.sp.800-30r1

  20. Tahar, B.M., Amine, S.M., Hachana, O.: Machine learning-based techniques for false data injection attacks detection in smart grid: a review. In: Hatti, M. (ed.) Advanced Computational Techniques for Renewable Energy Systems. LNNS, vol. 591, pp. 368–376. Springer International Publishing, Cham (2023). https://doi.org/10.1007/978-3-031-21216-1_39

    Chapter  Google Scholar 

  21. Wagg, D., Worden, K., Barthorpe, R., Gardner, P.: Digital twins: state-of-the-art future directions for modelling and simulation in engineering dynamics applications. ASCE-ASME J. Risk Uncertain. Eng. Syst. Part B Mech. Eng. 6, 030901 (2020). https://doi.org/10.1115/1.4046739

  22. Zhang, D., et al.: A comprehensive overview of modeling approaches and optimal control strategies for cyber-physical resilience in power systems. Renew. Energy 189, 1383–1406 (2022). https://doi.org/10.1016/j.renene.2022.03.096

    Article  Google Scholar 

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Correspondence to Valeria Valdés .

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Valdés, V., Zaidi, F., Cavalli, A.R., Mallouli, W. (2024). A Resilience Component for a Digital Twin. In: Mosbah, M., Sèdes, F., Tawbi, N., Ahmed, T., Boulahia-Cuppens, N., Garcia-Alfaro, J. (eds) Foundations and Practice of Security. FPS 2023. Lecture Notes in Computer Science, vol 14552. Springer, Cham. https://doi.org/10.1007/978-3-031-57540-2_8

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  • DOI: https://doi.org/10.1007/978-3-031-57540-2_8

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  • Online ISBN: 978-3-031-57540-2

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