The data set contains more than 52 thousands unique user-agent strings to numerous Internet browsing software. Each user-agent string is parsed into 47 elements. In addition, the relative exposure score of each browser is calculated based on the value of its user-agent string and corresponding vulnerabilities retrieved from the NVD database. Finally, the source code for exploring the data and the approach is fully provided (PHP).
Mohsen, F., Shtayyeh, A., Naser, R., Mohammad, L. & Struijk, M., 2022, Risks and Security of Internet and Systems - 16th International Conference, CRiSIS 2021, Revised Selected Papers. Luo, B., Mosbah, M., Cuppens, F., Ben Othmane, L., Cuppens, N. & Kallel, S. (eds.). Springer, p. 172-18211 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13204 LNCS).
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Mohsen, F. (Contributor), Shtayyeh, A. (Contributor), Naser, R. (Contributor), Mohammad, L. (Contributor) (15-Dec-2021). 52k+ User-agent strings and their exposure scores. DataverseNL. 10.34894/2svoie