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Dataset . 2023
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Dataset . 2023
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Study Dataset: Shedding Light on CVSS Scoring Inconsistencies: A User- Centric Study on Evaluating Widespread Security Vulnerabilities

Authors: Wunder, Julia; Kurtz, Andreas; Eichenmüller, Christian; Gassmann, Freya; Benenson, Zinaida;

Study Dataset: Shedding Light on CVSS Scoring Inconsistencies: A User- Centric Study on Evaluating Widespread Security Vulnerabilities

Abstract

This record contains the study datasets, descriptive results and questionnaires from the paper "Shedding Light on CVSS Scoring Inconsistencies: A User-Centric Study on Evaluating Widespread Security Vulnerabilities" by Julia Wunder, Andreas Kurtz, Christian Eichenmüller, Freya Gassmann and Zinaida Benenson to appear in Proceedings of the 45th IEEE Symposium on Security and Privacy (2024). The pseudonymous datasets contain data from the online surveys (main study with 196 participants and follow-up study with 59 participants). The first row gives the question codes and questions, the following rows gives the answers from the participants (see also README.md). We also provide descriptive results from the online surveys as PDF and the questionnaires. Please refer to the README.md file and our paper for further details about the data set and study.

This work was partially funded by the German Federal Ministry of Education and Research under grant 16KIS1271K.

Keywords

User Study, Consistency of Evaluations, Survey, CVSS

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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