KRYSTAL: Knowledge graph-based framework for tactical attack discovery in audit data-Reference-Cited by-同舟云学术

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KRYSTAL: Knowledge graph-based framework for tactical attack discovery in audit data

Published:2022-10 Issue: Volume:121 Page:102828
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Kurniawan Kabul^ORCID,Ekelhart Andreas,Kiesling Elmar,Quirchmayr Gerald,Tjoa A Min

Funder

Christian Doppler Forschungsgesellschaft

Austrian Science Fund

Bundesministerium für Digitalisierung und Wirtschaftsstandort

Österreichische Forschungsförderungsgesellschaft

Österreichische Nationalstiftung für Forschung, Technologie und Entwicklung

Bundesministerium für Verkehr, Innovation und Technologie

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference59 articles.

1. A survey and experimental comparison of distributed SPARQL engines for very large RDF data;Abdelaziz;Proc. VLDB Endowment,2017

2. Counting beyond a Yottabyte, or how SPARQL 1.1 property paths will prevent adoption of the standard;Arenas,2012

3. Capec, 2021Common attack pattern enumeration and classification. Accessed: 30.03.2021, https://capec.mitre.org/.

4. Consortium W.W.W., et al. SPARQL 1.1 overview. 2013. https://www.w3.org/TR/sparql11-overview/.

5. CVE, 2021Common vulnerabilities and exposures. Accessed: 30.03.2021, https://cve.mitre.org/about/index.html.

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3. An assembly process planning pipeline for industrial electronic equipment based on knowledge graph with bidirectional extracted knowledge from historical process documents;Journal of Intelligent Manufacturing;2024-06-05

4. From data to insights: the application and challenges of knowledge graphs in intelligent audit;Journal of Cloud Computing;2024-05-29

5. Integrated Safety and Security by Design in the IT/OT Convergence of Industrial Cyber-Physical Systems;2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS);2024-05-12

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