Common Vulnerability Scoring System Prediction Based on Open Source Intelligence Information Sources [Data Set & Models]
Beschreibung
This repository contains the dataset used to train BERT-based models based on open information sources. We aimed to build a more robust model to predict the Common Vulnerability Scoring System (CVSS) score. The repository with the source code used to train and evaluate the models can be found in [this repository](https://github.com/PEASEC/Open-Information-CVSS-Prediction). Please cite the original paper when using this data: "Kuehn, P., Relke, D. N., & Reuter, C. (2023). Common vulnerability scoring system prediction based on open source intelligence information sources. Computers & Security"
Schlagwort
Common vulnerability scoring system;National vulnerability database;Security management;IT Security;Deep learningDFG-Fächer
4.43-04 Künstliche Intelligenz und Maschinelle Lernverfahren4.43-05 Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous und Wearable Computing
Verknüpfte Ressourcen
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is supplement to: https://doi.org/10.1016/j.cose.2023.103286
Sammlungen
Die folgenden Lizenzbestimmungen sind mit dieser Ressource verbunden:
Solange nicht anders angezeigt, wird die Lizenz wie folgt beschrieben: MIT License