Research Article

Cyber Threat Actor Attribution: A Systematic Review and Evolutionary Perspective

Volume: 15 Number: 2 June 30, 2026

Cyber Threat Actor Attribution: A Systematic Review and Evolutionary Perspective

Abstract

Accurately attributing cyberattacks to threat actors is a cornerstone of cybersecurity but remains highly challenging. This systematic review analyzes the evolution of various methods for threat attribution, proposing a taxonomy of methods from text and malware analysis to graph-based and large language model (LLM)-driven approaches. The paper traces the progression from probabilistic models to multi-modal, explainable AI, highlighting emerging trends like graph learning and retrieval-augmented generation. The study provides a structured overview of the field’s trajectory and outlines key future research directions for building more accurate and actionable attribution systems.

Keywords

References

  1. T. Pahi and F. Skopik, “Cyber Attribution 2.0: Capture the False Flag,” in Proc. 18th European Conf. on Cyber Warfare and Security (ECCWS), 2019, pp. 338–345.
  2. I. J. King, R. Ramirez, B. Bowman, and H. H. Huang, “Trail: A Knowledge Graph-Based Approach for Attributing Advanced Persistent Threats,” in Proc. IEEE 41st Int. Conf. on Data Engineering (ICDE), 2025, pp. 1207–1220.
  3. L. Qiang, Z. Yang, L. Bao-xu, and Z. Zhengwei, “A Reasoning Method of Cyber-Attack Attribution Based on Threat Intelligence,” Int. J. Computer, Electrical, Automation, Control and Information Engineering, vol. 10, no. 5, pp. 920–924, 2016.
  4. M. S. Abu, S. Rahayu, R. Yusof, and A. Ariffin, “An Attribution of Cyberattack Using Association Rule Mining (ARM),” Int. J. Advanced Computer Science and Applications, vol. 11, no. 2, 2020.
  5. L. Perry, B. Shapira, and R. Puzis, “NO-DOUBT: Attack Attribution Based On Threat Intelligence Reports,” in Proc. IEEE Int. Conf. on Intelligence and Security Informatics (ISI), 2019, pp. 80–85.
  6. I. Rosenberg, G. Sicard, and E. David, “DeepAPT: Nation-State APT Attribution Using End-to-End Deep Neural Networks,” in Artificial Neural Networks and Machine Learning–ICANN 2017, vol. 10614. Springer, 2017, pp. 91–99.
  7. E. Böge, M. B. Ertan, H. Alptekin, and O. Çetin, “Unveiling Cyber Threat Actors: A Hybrid Deep Learning Approach for Behavior-Based Attribution,” Digital Threats: Research and Practice, vol. 6, no. 1, pp. 1–20, 2025.
  8. N. Xiao, B. Lang, T. Wang, and Y. Chen, “APT-MMF: An Advanced Persistent Threat Actor Attribution Method Based on Multimodal and Multilevel Feature Fusion,” Computers & Security, vol. 144, p. 103960, 2024.

Details

Primary Language

English

Subjects

Cybersecurity and Privacy (Other)

Journal Section

Research Article

Publication Date

June 30, 2026

Submission Date

December 10, 2025

Acceptance Date

April 29, 2026

Published in Issue

Year 2026 Volume: 15 Number: 2

APA
Huseynli, A. (2026). Cyber Threat Actor Attribution: A Systematic Review and Evolutionary Perspective. International Journal of Information Security Science, 15(2), 29-43. https://doi.org/10.55859/ijiss.1839759
AMA
1.Huseynli A. Cyber Threat Actor Attribution: A Systematic Review and Evolutionary Perspective. IJISS. 2026;15(2):29-43. doi:10.55859/ijiss.1839759
Chicago
Huseynli, Aykhan. 2026. “Cyber Threat Actor Attribution: A Systematic Review and Evolutionary Perspective”. International Journal of Information Security Science 15 (2): 29-43. https://doi.org/10.55859/ijiss.1839759.
EndNote
Huseynli A (June 1, 2026) Cyber Threat Actor Attribution: A Systematic Review and Evolutionary Perspective. International Journal of Information Security Science 15 2 29–43.
IEEE
[1]A. Huseynli, “Cyber Threat Actor Attribution: A Systematic Review and Evolutionary Perspective”, IJISS, vol. 15, no. 2, pp. 29–43, June 2026, doi: 10.55859/ijiss.1839759.
ISNAD
Huseynli, Aykhan. “Cyber Threat Actor Attribution: A Systematic Review and Evolutionary Perspective”. International Journal of Information Security Science 15/2 (June 1, 2026): 29-43. https://doi.org/10.55859/ijiss.1839759.
JAMA
1.Huseynli A. Cyber Threat Actor Attribution: A Systematic Review and Evolutionary Perspective. IJISS. 2026;15:29–43.
MLA
Huseynli, Aykhan. “Cyber Threat Actor Attribution: A Systematic Review and Evolutionary Perspective”. International Journal of Information Security Science, vol. 15, no. 2, June 2026, pp. 29-43, doi:10.55859/ijiss.1839759.
Vancouver
1.Aykhan Huseynli. Cyber Threat Actor Attribution: A Systematic Review and Evolutionary Perspective. IJISS. 2026 Jun. 1;15(2):29-43. doi:10.55859/ijiss.1839759