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Cyberattack Prediction Through Public Text Analysis and Mini-Theories

Cyberattack Prediction Through Public Text Analysis and Mini-Theories is a dataset used for training machine learning models to predict cyberattacks.

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Cite this as

Ian Perera, Jena Hwang, Kevin Bayas, Bonnie Dorr, Yorick Wilks (2024). Dataset: Cyberattack Prediction Through Public Text Analysis and Mini-Theories. https://doi.org/10.57702/ndbds1p5

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2109.13662
Author	Ian Perera
More Authors	Jena Hwang Kevin Bayas Bonnie Dorr Yorick Wilks