Enhancing Cybersecurity Risk Assessment using Temporal Knowledge Graphs
Published:
My recent publication in Decision Support Systems (Elsevier, 2025) focuses on temporal knowledge graph-based explainable DSS for cybersecurity.
We created a dataset of cybersecurity policies from 190 global firms and built a temporal knowledge graph to capture entity relations over time. The model then used attention-based mechanisms to classify policy vulnerabilities.
Highlights:
- Introduced the first temporal cybersecurity policy dataset.
- Automated attention unit selection for interpretability.
- Developed an explainable DSS that identifies and explains vulnerabilities.
Link to the paper: DOI Youtube video: Coming Soon(#)
Why it matters
Modern enterprises face evolving threats. Our framework doesn’t just flag a risky policy — it explains which rule and why it’s risky, helping companies improve their cybersecurity posture proactively.

Figure: Difference between the classical lexical retrieval and the influence based retrieval for large language models
Figure: Binary grading makes “guess when unsure” optimal → higher hallucinations.