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arXiv · 2305.00382

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

Anders Mølmen Høst·Pierre Lison·Leon Moonen
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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.

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Anders Mølmen Høst, Pierre Lison, Leon Moonen. 2023-04-30. Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database. https://arxiv.org/abs/2305.00382

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