A review of knowledge graph application scenarios in cyber security
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Abstract (arXiv)
Facing the dynamic complex cyber environments, internal and external cyber threat intelligence, and the increasing risk of cyber-attack, knowledge graphs show great application potential in the cyber security area because of their capabilities in knowledge aggregation, representation, management, and reasoning. However, while most research has focused on how to develop a complete knowledge graph, it remains unclear how to apply the knowledge graph to solve industrial real challenges in cyber-attack and defense scenarios. In this review, we provide a brief overview of the basic concepts, schema, and construction approaches for the cyber security knowledge graph. To facilitate future research on cyber security knowledge graphs, we also present a curated collection of datasets and open-source libraries on the knowledge construction and information extraction task. In the major part of this article, we conduct a comparative review of the different works that elaborate on the recent progress in the application scenarios of the cyber security knowledge graph. Furthermore, a novel comprehensive classification framework is created to describe the connected works from nine primary categories and eighteen subcategories. Finally, we have a thorough outlook on several promising research directions based on the discussion of existing research flaws.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Apr 2022.
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Citing papers per year: 2024: 4; 2025: 1; 2026: 1.
6 papers.
- 2024Actionable Cyber Threat Intelligence using Knowledge Graphs and Large Language Modelscited by 14
- 2024Patient-Centric Knowledge Graphs: A Survey of Current Methods, Challenges, and Applicationscited by 6
- 2024On the use of neurosymbolic AI for defending against cyber attackscited by 3
- 2024Web Scale Graph Mining for Cyber Threat Intelligencecited by 0
- 2025PICO: Secure Transformers via Robust Prompt Isolation and Cybersecurity Oversightcited by 0
- 2026NeuroGraph: An AI Graph-Driven Neuro-Symbolic Framework for Explainable Threat Reasoning in Advanced Manufacturingcited by 0
- 2026NeuroGraph: An AI Graph-Driven Neuro-Symbolic Framework for Explainable Threat Reasoning in Advanced Manufacturing1 Sep 2026
- 2025PICO: Secure Transformers via Robust Prompt Isolation and Cybersecurity Oversight26 Apr 2025
- 2024Web Scale Graph Mining for Cyber Threat Intelligence9 Nov 2024
- 2024On the use of neurosymbolic AI for defending against cyber attacks9 Aug 2024
- 2024Actionable Cyber Threat Intelligence using Knowledge Graphs and Large Language Models30 Jun 2024
- 2024Patient-Centric Knowledge Graphs: A Survey of Current Methods, Challenges, and Applications20 Feb 2024