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- W4210322728 abstract "This research aims to validate the effectiveness of a machine learning model composed of three classifiers: decision tree, logistic regression, and support vector machines. Through the design of a workflow, we demonstrate the effectiveness of the model. First, we execute a network attack, and then monitoring, processing, storage, visualization, and data transfer tools are implemented to create the most realistic environment possible and obtain more accurate predictions." @default.
- W4210322728 created "2022-02-08" @default.
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- W4210322728 date "2021-12-16" @default.
- W4210322728 modified "2023-10-16" @default.
- W4210322728 title "Cyberattacks Predictions Workflow using Machine Learning" @default.
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- W4210322728 doi "https://doi.org/10.1109/icmlant53170.2021.9690527" @default.
- W4210322728 hasPublicationYear "2021" @default.
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