The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/779a6a17-ed5e-4bfc-9068-6a16e3f7d10d

Nicoletti, Stefano M.; Lopuhaä-Zwakenberg, Milan; Stoelinga, Mariëlle; Massacci, Fabio; Budde, Carlos (2024): Quantitative Comparisons of MITRE ATT&CK Campaigns. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/779a6a17-ed5e-4bfc-9068-6a16e3f7d10d.v1

Dataset

• Computation Theory and Mathematics
• Information and Communication Services
• Information and Computing Sciences

ATT&CK, attack trees, Cybersecurity, logics, MITRE

MIT

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Stefano M. Nicoletti , Milan Lopuhaä-Zwakenberg , Mariëlle Stoelinga , Fabio Massacci , Carlos E. Budde

Accompanying artifact for the paper Nicoletti et al. (to appear), detailing how to perform quantitative comparisons of MITRE ATT&CK Campaigns, via attack tree models and metrics.

• 2024-08-30 first online, published, posted

4TU.ResearchData

code/python, data/json, data/csv, image/pdf, data/xlsx, data/ods, data/plain text

• ERC 864075 CAESAR
• ProSVED (grant code 101067199) [more info...] MSCA Actions
• Smartitude (grant code D53D23008400006) MUR PRIN/PNRR

University of Twente, Faculty of Electrical Engineering, Mathematics and Computer Science;
University of Trento, Department of Computer Science and Engineering;
Vrije Universiteit Amsterdam, Faculty of Science