Integrates LLMs with domain ontologies and SHACL constraints to produce accurate, explainable structured outputs from cybersecurity logs for threat intelligence.
A Survey on Honeypot Software and Data Analysis
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
abstract
In this survey, we give an extensive overview on honeypots. This includes not only honeypot software but also methodologies to analyse honeypot data.
years
2025 2verdicts
UNVERDICTED 2representative citing papers
OntoLogX is a system that applies LLMs with ontology guidance, RAG, and iterative fixes to build valid knowledge graphs from cybersecurity logs and predict ATT&CK tactics from aggregated sessions.
citing papers explorer
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Enabling Transparent Cyber Threat Intelligence Combining Large Language Models and Domain Ontologies
Integrates LLMs with domain ontologies and SHACL constraints to produce accurate, explainable structured outputs from cybersecurity logs for threat intelligence.
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OntoLogX: Ontology-Guided Knowledge Graph Extraction from Cybersecurity Logs with Large Language Models
OntoLogX is a system that applies LLMs with ontology guidance, RAG, and iterative fixes to build valid knowledge graphs from cybersecurity logs and predict ATT&CK tactics from aggregated sessions.