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Main Authors: Lourenço, Bruno, Adão, Pedro, Ferreira, João F., Marques, Mario Monteiro, Vaz, Cátia
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2510.16610
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author Lourenço, Bruno
Adão, Pedro
Ferreira, João F.
Marques, Mario Monteiro
Vaz, Cátia
author_facet Lourenço, Bruno
Adão, Pedro
Ferreira, João F.
Marques, Mario Monteiro
Vaz, Cátia
contents This survey investigates how ontologies, semantic log processing, and Large Language Models (LLMs) enhance cybersecurity. Ontologies structure domain knowledge, enabling interoperability, data integration, and advanced threat analysis. Security logs, though critical, are often unstructured and complex. To address this, automated construction of Knowledge Graphs (KGs) from raw logs is emerging as a key strategy for organizing and reasoning over security data. LLMs enrich this process by providing contextual understanding and extracting insights from unstructured content. This work aligns with European Union (EU) efforts such as NIS 2 and the Cybersecurity Taxonomy, highlighting challenges and opportunities in intelligent ontology-driven cyber defense.
format Preprint
id arxiv_https___arxiv_org_abs_2510_16610
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Structuring Security: A Survey of Cybersecurity Ontologies, Semantic Log Processing, and LLMs Application
Lourenço, Bruno
Adão, Pedro
Ferreira, João F.
Marques, Mario Monteiro
Vaz, Cátia
Cryptography and Security
This survey investigates how ontologies, semantic log processing, and Large Language Models (LLMs) enhance cybersecurity. Ontologies structure domain knowledge, enabling interoperability, data integration, and advanced threat analysis. Security logs, though critical, are often unstructured and complex. To address this, automated construction of Knowledge Graphs (KGs) from raw logs is emerging as a key strategy for organizing and reasoning over security data. LLMs enrich this process by providing contextual understanding and extracting insights from unstructured content. This work aligns with European Union (EU) efforts such as NIS 2 and the Cybersecurity Taxonomy, highlighting challenges and opportunities in intelligent ontology-driven cyber defense.
title Structuring Security: A Survey of Cybersecurity Ontologies, Semantic Log Processing, and LLMs Application
topic Cryptography and Security
url https://arxiv.org/abs/2510.16610