Introducing UWF-ZeekData24: An Enterprise MITRE ATT&CK Labeled Network Attack Traffic Dataset for Machine Learning/AI

Introducing UWF-ZeekData24: An Enterprise MITRE ATT&CK Labeled Network Attack Traffic Dataset for Machine Learning/AI

This paper describes the creation of a new dataset, UWF-ZeekData24, aligned with the Enterprise MITRE ATT&CK Framework, that addresses critical shortcomings in existing network security datasets. Controlling the construction of attacks and meticulously labeling the data provides a more accurate...

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Bibliographic Details
Main Authors: Marshall Elam, Dustin Mink, Sikha S. Bagui, Russell Plenkers, Subhash C. Bagui
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Data
Subjects:
cybersecurity
network traffic
Enterprise MITRE ATT&CK Framework
labeled dataset
machine learning
AI
Online Access:https://www.mdpi.com/2306-5729/10/5/59
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