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

This record contains the <strong>study datasets, descriptive results and questionnaires</strong> 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 <strong>datasets</strong> 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 <strong>descriptive results</strong> 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.本数据集包含Julia Wunder、Andreas Kurtz、Christian Eichenmüller、Freya Gassmann与Zinaida Benenson合著的论文《厘清CVSS（Common Vulnerability Scoring System）评分不一致性：面向广泛安全漏洞评估的用户中心研究》（该论文将发表于第45届IEEE安全与隐私研讨会会议论文集（2024年））中的**研究数据集、描述性结果与调查问卷**。该**假名化数据集**收录了两项在线调研的数据，其中主体调研共有196名参与者，后续跟踪调研共有59名参与者。数据集首行标注了问题编码与问题内容，后续各行则记录了参与者的作答结果（详见README.md文件）。我们还以PDF格式提供了在线调研的**描述性结果**与调查问卷。如需了解该数据集与本研究的更多细节，请参阅README.md文件与本论文。