Cited by 8Network Security and Intrusion DetectionInformation and Cyber SecuritySmart Grid Security and Resilience

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 access
Heluany, Jessica, Amro, Ahmed, Gkioulos, Vasileios, Katsikas, Sokratis·2024·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

Abstract

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.

Overview

Integrity signals

Registry

Crossref · 10.1145/3643662.3643955

Cites

14 of 14 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 14 references

Research works printed but not linked: 12

  1. Violeta Damjanovic-Behrendt, Michaela Mühlberger, Cristina de Luca, Thomos Christos, Christoph Schmittner AIT, and Edin Arnautovic. 2018. Deliverable D5. (2018).
  2. Matthias Eckhart and Andreas Ekelhart. 2019. Digital twins for cyber-physical systems security: State of the art and outlook. Security and Quality in Cyber-Physical Systems Engineering: With Forewords by Robert M. Lee and Tom Gilb (2019), 383--412.
  3. Rajiv Faleiro, Lei Pan, Shiva Raj Pokhrel, and Robin Doss. 2022. Digital twin for cybersecurity: Towards enhancing cyber resilience. In Broadband Communications, Networks, and Systems: 12th EAI International Conference, BROADNETS 2021, Virtual Event, October 28-29, 2021, Proceedings 12. Springer, 57--76.
  4. Peter J Hanson, Lucas Truax, and David D Saranchak. 2018. IOT honeynet for military deception and indications and warnings. In Autonomous Systems: Sensors, Vehicles, Security, and the Internet of Everything, Vol. 10643. SPIE, 296--306.
  5. David Holmes, Maria Papathanasaki, Leandros Maglaras, Mohamed Amine Ferrag, Surya Nepal, and Helge Janicke. 2021. Digital Twins and Cyber Security-solution or challenge?. In 2021 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM). IEEE, 1--8.
  6. Efrén López-Morales, Carlos Rubio-Medrano, Adam Doupé, Yan Shoshitaishvili, Ruoyu Wang, Tifanny Bao, and Gail-Joon Ahn. 2020. HoneyPLC: A Next-Generation Honeypot for Industrial Control Systems. In In Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security (CCS '20).
  7. Tom H Luan, Ruhan Liu, Longxiang Gao, Rui Li, and Haibo Zhou. 2021. The paradigm of digital twin communications. arXiv preprint arXiv:2105.07182 (2021). · arXiv
  8. Forrest McKee and David Noever. 2023. Chatbots in a honeypot world. arXiv preprint arXiv:2301.03771 (2023). · arXiv
  9. Maria Nintsiou, Elisavet Grigoriou, Paris Alexandros Karypidis, Theocharis Saoulidis, Eleftherios Fountoukidis, and Panagiotis Sarigiannidis. 2023. Threat intelligence using Digital Twin honeypots in Cybersecurity. In 2023 IEEE International Conference on Cyber Security and Resilience (CSR). IEEE, 530--537.
  10. Yuqiang Zhang, Zhiqiang Hao, Ning Hu, Jiawei Luo, and Chonghua Wang. 2022. A virtualization-based security architecture for industrial control systems. In 2022 7th IEEE International Conference on Data Science in Cyberspace (DSC). IEEE, 94--101.
  11. Tianming Zheng, Ming Liu, Deepak Puthal, Ping Yi, Yue Wu, and Xiangjian He. 2022. Smart Grid: Cyber Attacks, Critical Defense Approaches, and Digital Twin. arXiv preprint arXiv:2205.11783 (2022). · arXiv
  12. Cheng Zhou, Hongwei Yang, Xiaodong Duan, Diego Lopez, Antonio Pastor, Qin Wu, Mohamed Boucadair, and Christian Jacquenet. 2021. Digital twin network: Concepts and reference architecture. Internet Engineering Task Force: Fremont, CA, USA (2021).

Cited by

Sorted by citations

See all 8

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
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review