Common Vulnerability Scoring System Prediction Based on Open Source Intelligence Information Sources [Data Set & Models]

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. 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"

Identifier
Source https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4214
Metadata Access https://tudatalib.ulb.tu-darmstadt.de/oai/openairedata?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:tudatalib.ulb.tu-darmstadt.de:tudatalib/4214
Provenance
Creator Kuehn, Philipp; Relke, David; Reuter, Christian
Publisher TU Darmstadt
Contributor TU Darmstadt
Publication Year 2023
Rights MIT License; info:eu-repo/semantics/openAccess
OpenAccess true
Contact https://tudatalib.ulb.tu-darmstadt.de/page/contact
Representation
Resource Type Other
Format application/zip
Discipline Other