The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Interplay of Digital Twins and Cyber Deception: Unraveling Paths for Technological Advancements
Open accessAbstract
This research delves into the consolidation of Digital Twin and cyber deception technologies and explores their potential synergy for advancing cybersecurity processes. The study begins with a literature survey and market analysis, revealing a scarcity of mature scientific and commercial contributions in this domain. Most discussions remain theoretical, emphasizing the need for further research to address challenges and practically apply these technologies. Promising applications encompass cyber deception, anomaly detection, and threat intelligence, predominantly utilizing digital twin-based honeypots.
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“LLM-LDAP honeypots and adaptive deception architectures [126,128] use LLMdriven response generation to sustain attacker engagement orders of magnitude longer than traditional honeypots.”
From Agentic AI and Large Language Models for Autonomous IoT Cybersecurity: A Systematic Survey, Taxonomy, and Research Roadmap (2026) · cites this paper as [128]
In the citing paper
“The interplay of digital twins and cyber deception [128] suggests an emerging architecture in which a digital twin of the production IoT environment serves both as a high-fidelity decoy and as a simulation testbed for response playbooks [138,139].”
From Agentic AI and Large Language Models for Autonomous IoT Cybersecurity: A Systematic Survey, Taxonomy, and Research Roadmap (2026) · cites this paper as [128]
Citations
Cites
Digital Twin in manufacturing: A categorical literature review and classification
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“The Digital Twin technology is a rapidly advancing technology in Industry 4.0 [30].”
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Digital Twin: A Comprehensive Survey of Security Threats
Alcaraz, C., & López, J. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3171465 · Cited by 364
A Review of Cybersecurity Guidelines for Manufacturing Factories in Industry 4.0
Mullet, V., Sondi, P., & Ramat, E. (2021) · IEEE Access · doi:10.1109/access.2021.3056650 · Cited by 161 · cited 2×
“In smart grid [38] and manufacturing [27].”
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Integrating digital twin security simulations in the security operations center
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Classifying resilience approaches for protecting smart grids against cyber threats
Syrmakesis, A. D., Alcaraz, C., & Hatziargyriou, N. D. (2022) · International Journal of Information Security · doi:10.1007/s10207-022-00594-7 · Cited by 76
A Survey on Anti-honeypot and Anti-introspection Methods
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Cited by
Sorted by citations
Leveraging digital twins for advanced threat modeling in cyber-physical systems cybersecurity
Erceylan, G., Akbarzadeh, A., & Gkioulos, V. (2025) · International Journal of Information Security · doi:10.1007/s10207-025-01043-x · Cited by 23
Self-citationDigital Twins for Software Engineering Processes
Kimmel, R., Michael, J., Wortmann, A., & Zhang, J. (2025) · IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER) · doi:10.1109/icse-nier66352.2025.00009 · Cited by 5
Nageshwaran, V., & Ezekiel, S. (2026) · Electronics · doi:10.3390/electronics15122740 · Cited by 4
“The interplay of digital twins and cyber deception [128] suggests an emerging architecture in which a digital twin of the production IoT environment serves both as a high-fidelity decoy and as a simulation testbed for response playbooks [138,139].”
From Words to Wires: Toward Rapid ICS Cyber-Range Construction Using LLMs
Berg, T. H., Amro, A., Akbarzadeh, A., & Kavallieratos, G. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-16089-8_28 · Cited by 1
Self-citationSimensen, J. E., Esnoul, C., Jee, E., Babar, M. A., Le, T. H. M., & Rashid, A. (2024) · ACM SIGSOFT Software Engineering Notes · doi:10.1145/3696117.3696122
Analysis of Techniques and Systems used in Deception Engineering
Johnson, N. J. (2025) · International Conference in Advances in Power, Signal, and Information Technology (APSIT) · doi:10.1109/apsit63993.2025.11086117
A Self-Synchronizing Cyber Deception Framework via Infrastructure as Code Reflection
Park, J., Kim, S., Jang, W., Kim, Y.-J., Shim, S., Lee, O. O. K., & Park, K.-W. (2025) · IEEE Pacific Rim International Symposium on Dependable Computing (PRDC) · doi:10.1109/prdc67299.2025.00027
Alnemari, A., & Alsulami, M. M. (2026) · Electronics · doi:10.3390/electronics15163640
Metadata
- Authors
- Heluany, J., Amro, A., Gkioulos, V., & Katsikas, S.
- Affiliations
- Norwegian University of Science and Technology (NO)
- Venue
- Proceedings 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 Vulnerability
- Publisher
- ACM
- Published
- 2024-04-15
- Pages
- 20-28
- OpenAlex
- W4401878159
- Cited by
- 8
- References
- 14
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 1
- FWCI
- 3.50
- Type
- conference paper
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Funders
- Norwegian Research Council (310105)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Physical Sciences › Engineering › Control and Systems Engineering › Smart Grid Security and Resilience
- Keywords
- digital twin, cyber deception, honeypots, cybersecurity, anomaly detection, threat intelligence
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