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dc.contributor.authorKuehn, Philipp
dc.contributor.authorRelke, David
dc.contributor.authorReuter, Christian
dc.date.accessioned2024-04-23T15:29:29Z
dc.date.available2024-04-23T15:29:29Z
dc.date.issued2023
dc.identifier.urihttps://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4214
dc.descriptionThis 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"de_DE
dc.relation<p>is supplement to: <a href="https://doi.org/10.1016/j.cose.2023.103286">https://doi.org/10.1016/j.cose.2023.103286</a></p>
dc.rightsMIT License
dc.rights.urihttps://opensource.org/licenses/MIT
dc.subjectCommon vulnerability scoring systemde_DE
dc.subjectNational vulnerability databasede_DE
dc.subjectSecurity managementde_DE
dc.subjectIT Securityde_DE
dc.subjectDeep learningde_DE
dc.subject.classification409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierungde_DE
dc.subject.ddc004
dc.titleCommon Vulnerability Scoring System Prediction Based on Open Source Intelligence Information Sources [Data Set & Models]de_DE
dc.typeOtherde_DE
tud.unitTUDa


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MIT License
Except where otherwise noted, this item's license is described as MIT License