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Digital twin communities: an approach for secure DT data sharing

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Abstract

Digital Twin (DT) technology empowers organizations to create virtual counterparts of their physical assets, thereby magnifying their analytical, optimization and decision-making capabilities. More specifically, the simulation capabilities of a DT generate high-quality data that not only benefit the DT owner organization, but also increase the potential of similar organizations by leveraging the DT’s capabilities when sharing its simulation results This collaborative sharing boosts the capabilities of each participating organization, fostering a collective intelligence that amplifies their competitive advantage. Nonetheless, data exchange must rigorously safeguard each organization’s data confidentiality, and access to this data must be thoroughly controlled. Thus, this paper introduces the novel concept of DT communities and proposes a hybrid access control architecture. This architecture seamlessly integrates the strengths of both Role Based Access Control (RBAC) and Organizational Based Access Control (OrBAC), facilitating secure, authorized intra- and inter-organizational information sharing in the context of Industry 5.0, combining the strengths of local DT communication and other organization’s DTs as well. Moreover, in order to show the feasibility of the approach for critical corporate organizations and their systems, in this paper we provide a proof-of-concept implementation of this architecture. To validate its functionality and efficiency, we perform a number of experimental studies showing how various entities can benefit from securely sharing DT models based on the concept of “community".

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References

  1. Adel, A.: Future of industry 5.0 in society: human-centric solutions, challenges and prospective research areas. J. Cloud Comput. 11(1), 1–15 (2022)

    Article  Google Scholar 

  2. Al-Jaroodi, J., Mohamed, N.: Pscps,: a distributed platform for cloud and fog integrated smart cyber-physical systems. IEEE Access 6, 41432–41449 (2018). https://doi.org/10.1109/ACCESS.2018.2856509

    Article  Google Scholar 

  3. Alcaraz, C., Lopez, J.: Digital twin: a comprehensive survey of security threats. IEEE Commun. Surv. Tutor. 24(3), 1475–1503 (2022). https://doi.org/10.1109/COMST.2022.3171465

    Article  Google Scholar 

  4. Alcaraz, C., Lopez, J.: Protecting digital twin networks for 6G-enabled industry 5.0 ecosystems. IEEE Netw. Magaz. 37(2), 302–308 (2023). https://doi.org/10.1109/MNET.004.2200529

    Article  Google Scholar 

  5. Alcaraz, C., Fernandez-Gago, C., Lopez, J.: An early warning system based on reputation for energy control systems. IEEE Trans. Smart Grid 2(4), 827–834 (2011). https://doi.org/10.1109/TSG.2011.2161498

    Article  Google Scholar 

  6. Alcaraz, C., Rubio, J.E., Lopez, J.: Blockchain-assisted access for federated smart grid domains: coupling and features. J. Parall. Distrib. Comput. 144, 124–135 (2020). https://doi.org/10.1016/j.jpdc.2020.05.012

    Article  Google Scholar 

  7. Ali, M., Kaddoum, G., Li, W.T., Yuen, C., Tariq, M., Poor, H.V.: A smart digital twin enabled security framework for vehicle-to-grid cyber-physical systems. IEEE Transactions on Information Forensics and Security (2023)

  8. Attaran, M., Celik, B.G.: Digital twin: benefits, use cases, challenges, and opportunities. Decis. Analyt. J. 6(100), 165 (2023). https://doi.org/10.1016/j.dajour.2023.100165

    Article  Google Scholar 

  9. Cao, X., Li, X., Xiao, Y., Yao, Y., Tan, S., Wang, P.: Bdtwins: Blockchain-based digital twins lifecycle management. In: 2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta), IEEE, pp 2003–2010 (2022)

  10. Car, P., De Luca, S.: Eu Cyber Resilience Act. EPRS, European Parliament (2022)

    Google Scholar 

  11. Cathey, G., Benson, J., Gupta, M., Sandhu, R.: Edge centric secure data sharing with digital twins in smart ecosystems. In: 2021 Third IEEE International Conference on Trust, pp. 70–79. IEEE, Privacy and Security in Intelligent Systems and Applications (TPS-ISA) (2021)

    Google Scholar 

  12. Cf, O.: Transforming Our World: The 2030 Agenda for Sustainable Development. United Nations, New York, NY, USA (2015)

    Google Scholar 

  13. Chen, Z., Huang, L.: Digital twins for information-sharing in remanufacturing supply chain: A review. Energy 220(119), 712 (2021). https://doi.org/10.1016/j.energy.2020.119712

    Article  Google Scholar 

  14. Commission, E., for Research DG, Innovation, Breque, M., De Nul, L., Petridis, A.: Industry 5.0 - Towards a sustainable, human-centric and resilient European industry. Publications Office of the European Union, (2021). https://doi.org/10.2777/308407

  15. Council of European Union (2024) Cyber solidarity act, text of the provisional agreement, 20 march 2024. https://www.consilium.europa.eu/media/70805/ st08047-en24.pdf

  16. Crnkovic, I., Malavolta, I., Muccini, H., Sharaf, M.: On the use of component-based principles and practices for architecting cyber-physical systems. In: 2016 19th International ACM SIGSOFT Symposium on Component-Based Software Engineering (CBSE), pp 23–32, (2016) https://doi.org/10.1109/CBSE.2016.9

  17. Dietz, M., Putz, B., Pernul, G.: A distributed ledger approach to digital twin secure data sharing. In: Data and Applications Security and Privacy XXXIII: 33rd Annual IFIP WG 11.3 Conference, DBSec 2019, Charleston, SC, USA, July 15–17, 2019, Proceedings 33, Springer, pp 281–300 (2019)

  18. Dietz, M., Schlette, D., Pernul, G.: Harnessing digital twin security simulations for systematic cyber threat intelligence. In: 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), pp 789–797, (2022) https://doi.org/10.1109/COMPSAC54236.2022.00129

  19. Eclipse Foundation (2021) Dynamic security plugin. https://mosquitto.org/documentation/dynamic-security/

  20. Gehrmann, C., Gunnarsson, M.: A digital twin based industrial automation and control system security architecture. IEEE Trans. Ind. Inf. 16(1), 669–680 (2019)

    Article  Google Scholar 

  21. Gopstein, A., Nguyen, C., O’Fallon, C., Hastings, N., Wollman, D., et al.: NIST framework and roadmap for smart grid interoperability standards, release 4.0. Department of Commerce. National Institute of Standards and Technology (2021)

  22. Hellmeier, M., Pampus, J., Qarawlus, H., Howar, F.: Implementing data sovereignty: Requirements & challenges from practice. In: Proceedings of the 18th International Conference on Availability, Reliability and Security, Association for Computing Machinery, New York, NY, USA, ARES ’23, (2023) https://doi.org/10.1145/3600160.3604995

  23. Karsai, G., Balasubramanian, D., Dubey, A., Otte, WR.: Distributed and managed: Research challenges and opportunities of the next generation cyber-physical systems. In: 2014 IEEE 17th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, pp 1–8, (2014) https://doi.org/10.1109/ISORC.2014.36

  24. Lai, C., Wang, M., Zheng, D.: Spdt: Secure and privacy-preserving scheme for digital twin-based traffic control. In: 2022 IEEE/CIC International Conference on Communications in China (ICCC), IEEE, pp 144–149 (2022)

  25. Leng, J., Sha, W., Wang, B., Zheng, P., Zhuang, C., Liu, Q., Wuest, T., Mourtzis, D., Wang, L.: Industry 5.0: prospect and retrospect. J. Manuf. Syst. 65, 279–295 (2022). https://doi.org/10.1016/j.jmsy.2022.09.017

    Article  Google Scholar 

  26. Light, R.A.: Mosquitto: server and client implementation of the mqtt protocol. J. Open Sour. Softw. 2(13), 265 (2017)

    Article  Google Scholar 

  27. Lopez, J., Rubio, J.E.: Access control for cyber-physical systems interconnected to the cloud. Comput. Netw. 134, 46–54 (2018). https://doi.org/10.1016/j.comnet.2018.01.037

    Article  Google Scholar 

  28. Lopez, J., Alcaraz, C., Roman, R.: Smart control of operational threats in control substations. Comput. Sec. 38, 14–27 (2013). https://doi.org/10.1016/j.cose.2013.03.013

    Article  Google Scholar 

  29. Lopez, J., Rubio, J.E., Alcaraz, C.: A resilient architecture for the smart grid. IEEE Trans. Ind. Inf. 14, 3745–3753 (2018). https://doi.org/10.1109/TII.2018.2826226

    Article  Google Scholar 

  30. Lopez, J., Rubio, J.E., Alcaraz, C.: Digital twins for intelligent authorization in the b5g-enabled smart grid. IEEE Wirel. Commun. 28, 48–55 (2021). https://doi.org/10.1109/MWC.001.2000336

    Article  Google Scholar 

  31. Park, J., Sandhu, R.: The uconabc usage control model. ACM Trans. Inform. Syst. Sec. (TISSEC) 7(1), 128–174 (2004)

    Article  Google Scholar 

  32. Putz, B., Dietz, M., Empl, P., Pernul, G.: Ethertwin: blockchain-based secure digital twin information management. Inf. Process. Manag. 58(1), 102–425 (2021)

    Article  Google Scholar 

  33. Qi, Q., Tao, F., Hu, T., Anwer, N., Liu, A., Wei, Y., Wang, L., Nee, A.: Enabling technologies and tools for digital twin. Journal of Manufacturing Systems 58:3–21, (2021) https://doi.org/10.1016/j.jmsy.2019.10.001, digital Twin towards Smart Manufacturing and Industry 4.0

  34. Qi, S., Yang, X., Yu, J., Qi, Y.: Blockchain-aware rollbackable data access control for iot-enabled digital twin. IEEE J. Select. Areas Commun. (2023)

  35. Rahman, A., Hasan, K., Kundu, D., Islam, M.J., Debnath, T., Band, S.S., Kumar, N.: On the icn-iot with federated learning integration of communication: Concepts, security-privacy issues, applications, and future perspectives. Future Generat. Comput. Syst. 138, 61–88 (2023)

  36. Rios, R., Lopez, J.: Analysis of location privacy solutions in wireless sensor networks. IET Commun. 5, 2518–2532 (2011). https://doi.org/10.1049/iet-com.2010.0825

    Article  Google Scholar 

  37. Rios, R., Lopez, J.: Exploiting context-awareness to enhance source-location privacy in wireless sensor networks. Comput. J. 54, 1603–1615 (2011). https://doi.org/10.1093/comjnl/bxr055

    Article  Google Scholar 

  38. Rubio, J.E., Alcaraz, C., Roman, R., Lopez, J.: Current cyber-defense trends in industrial control systems. Comput. Sec. 87(101), 561 (2019)

    Google Scholar 

  39. Schroeder, G.N., Steinmetz, C., Rodrigues, R.N., Henriques, R.V.B., Rettberg, A., Pereira, C.E.: A methodology for digital twin modeling and deployment for industry 4.0. Proc. IEEE. 109(4), 556–567 (2020)

    Article  Google Scholar 

  40. Shen, W., Hu, T., Zhang, C., Ma, S.: Secure sharing of big digital twin data for smart manufacturing based on blockchain. J. Manuf. Syst. 61, 338–350 (2021)

    Article  Google Scholar 

  41. Stafford, V.: Zero Trust Architecture. NIST Special Publication: Gaithersburg. pp 207-800 (2020)

  42. Stal, M.: The broker architectural framework. Works. Concurr. Parall. Distrib. Patt. Obj. Orient. Progr. Held OOPSLA Citeseer 95, 1–19 (1995)

    Google Scholar 

  43. Standard, O.: extensible access control markup language (xacml) version 3.0. A:(22 January 2013) (2013)

  44. Wei, W., An, B., Qiao, K., Shen, J.: A blockchain-based multi-users oblivious data sharing scheme for digital twin system in industrial internet of things. IEEE J. Select. Areas Commun. (2023)

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Acknowledgements

Authors would like to thank the company S2Grupo for providing useful comments and feedback for improvements of the paper. The work has been partially supported by the project SEGRES (EXP-00131359/MIG-20201041) funded by the CDTI as part of the Ministerio de Ciencia, Innovaciación y Universidades; by the project SecTwin 5.0 (TED2021-129830B-I00), funded by MCIN/AEI/10.13039/501100011033 and by the European Union“NextGenerationEU”/PRTR; and by the project DUCA (101086308) funded by the European Union under HORIZON-TMA-MSCA-SE.

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  1. Computer Science Department, University of Malaga, Campus de Teatinos s/n, 29071, Malaga, Spain

    Cristina Alcaraz, Iman Hasnaouia Meskini & Javier Lopez

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  1. Cristina Alcaraz
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  2. Iman Hasnaouia Meskini
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  3. Javier Lopez
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Correspondence to Cristina Alcaraz.

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Alcaraz, C., Meskini, I.H. & Lopez, J. Digital twin communities: an approach for secure DT data sharing. Int. J. Inf. Secur. 24, 17 (2025). https://doi.org/10.1007/s10207-024-00912-1

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