Published February 3, 2025 | Version 0.9
Model Open

cyberKG Model

Authors/Creators

  • 1. ROR icon King Faisal University

Contributors

Contact person:

Project leader:

Project manager:

Project member:

  • 1. ROR icon King Faisal University
  • 2. Edith Cowan University, Joondalup, Western Australia, Australia
  • 3. King Faisal University, Al Ahsa

Description

A knowledge graph also referred to as a semantic network represents real-world networks of objects, situations, events, or concepts, and shows their relationships in relation to each other. Graph databases store this information and display it as graph structures, thus establishing the term "knowledge graph." The use of knowledge graphs has shown promise for several cybersecurity tasks, such as vulnerability assessment and threat analysis. This repository contains the source code of the cyberKG. This is an autonomously vulnerability knowledge graph based on the Labelled Property Graphs (LPGs). It was constructed using heterogeneous data sources.

Files

The_code.ipynb

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Additional details

Identifiers

URL
https://github.com/neostrange/cyberKG

Funding

King Faisal University
GRANT5,847

Dates

Accepted
2025-02-03

Software

Repository URL
https://github.com/neostrange/cyberKG/blob/main/README.md
Programming language
Python , Jupyter Notebook
Development Status
Active

References

  • Qin S, Chow KP. 2019. Automatic analysis and reasoning based on vulnerability knowledge graph. In: Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health. Singapore: Springer Singapore, 3-19.
  • Qin Y, Liao X. 2022. Cybersecurity Entity Alignment via Masked Graph Attention Networks. ArXiv arXiv:2207.01434.
  • Sun Y, Lin D, Song H, Yan M, Cao L. 2020. A Method to Construct Vulnerability Knowledge Graph based on Heterogeneous Data. In: 16th International Conference on Mobility, Sensing and Networking (MSN). Piscataway: IEEE, 740-745.
  • Zhao X, Jiang R, Han Y, Li A, Peng Z. 2022. A survey on cybersecurity knowledge graph construction. Computers & Security 2023:103524 DOI 10.1016/j.cose.2023.103524.
  • Zhao H, Pan Y, Yang F. 2020. Research on Information Extraction of Technical Documents and Construction of Domain Knowledge Graph. IEEE Access 8: 168087-168098 DOI 10.1109/ACCESS.2020.3024070.