📖
DSecO: Domain Name System (DNS) Data as a Knowledge Graph for Enhanced Security Analysis
Didier Bringer, Lionel Tailhardat

DSecO: Domain Name System (DNS) Data as a Knowledge Graph for Enhanced Security Analysis

Author / Organization:
Science & Mathematics Published 2025 Verification Pending

Overview & Synopsis

Managing Domain Name System (DNS) records presents challenges in terms of consistency and tracking over time, which can have operational impacts, particularly on cybersecurity. In this paper, we explore the use of ontologies and knowledge graphs to facilitate DNS system audit activities. We define nine key use cases derived from real DNS operations data of a large-scale telco company and demonstrate how querying and inference techniques can address these use cases using an RDF knowledge graph structured by the DSecO vocabulary, an open-source ontology available at https://w3id.org/dseco. Overall, we demonstrate the feasibility of providing a unified view of DNS records and the practicality of explainable and shareable DNS administration rules for extended analysis and informed decision-making by NetOps and SecOps teams regarding DNS records.

Indexed from repository: HAL Open Science (hal.science)
Loading document from verified source...
Keyboard Shortcuts: ← / → for pages • + / - for zoom • 0 to fit width Powered by Mozilla PDF.js v3.11

Document Information

Document Title DSecO: Domain Name System (DNS) Data as a Knowledge Graph for Enhanced Security Analysis
Author / Organization Didier Bringer, Lionel Tailhardat
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2025
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-172878
Original Source Link Visit Source Page on hal.science »