Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database

Høst, Anders Mølmen; Lison, Pierre; Moonen, Leon

dc.contributor.author	Høst, Anders Mølmen
dc.contributor.author	Lison, Pierre
dc.contributor.author	Moonen, Leon
dc.date.accessioned	2024-01-22T07:23:34Z
dc.date.available	2024-01-22T07:23:34Z
dc.date.created	2023-06-27T13:19:41Z
dc.date.issued	2023
dc.identifier.isbn	978-99-1621-999-7
dc.identifier.uri	https://hdl.handle.net/11250/3112916
dc.description.abstract	Knowledge graphs have shown promise for several cybersecurity tasks, such as vulnerability assessment and threat analysis. In this work, we present a new method for constructing a vulnerability knowledge graph from information in the National Vulnerability Database (NVD). Our approach combines named entity recognition (NER), relation extraction (RE), and entity prediction using a combination of neural models, heuristic rules, and knowledge graph embeddings. We demonstrate how our method helps to fix missing entities in knowledge graphs used for cybersecurity and evaluate the performance.
dc.description.abstract	Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database
dc.language.iso	eng	en_US
dc.relation.ispartof	Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)
dc.relation.uri	https://dspace.ut.ee/bitstream/handle/10062/89899/75.pdf?sequence=1&isAllowed=y
dc.rights	Navngivelse-Ikkekommersiell-DelPåSammeVilkår 4.0 Internasjonal	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/4.0/deed.no	*
dc.title	Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database	en_US
dc.title.alternative	Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database	en_US
dc.type	Chapter	en_US
dc.description.version	publishedVersion
cristin.ispublished	true
cristin.fulltext	original
dc.identifier.cristin	2158644
dc.source.pagenumber	386-391	en_US
dc.relation.project	Norges forskningsråd: 332139
dc.subject.nsi	VDP::Datateknologi: 551
dc.subject.nsi	VDP::Computer technology: 551

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