UMUDGA: A dataset for profiling algorithmically generated domain names in botnet detection

UMUDGA: A dataset for profiling algorithmically generated domain names in botnet detection

In computer security, botnets still represent a significant cyber threat. Concealing techniques such as the dynamic addressing and the domain generation algorithms (DGAs) require an improved and more effective detection process. To this extent, this data descriptor presents a collection of over 30 m...

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Bibliographic Details
Main Authors: Mattia Zago, Manuel Gil Pérez, Gregorio Martínez Pérez
Format: Article
Language:English
Published: Elsevier 2020-06-01
Series:Data in Brief
Subjects:
Domain Generation Algorithm (DGA)
Natural Language Processing (NLP)
Machine learning
Data
Network security
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340920302948

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http://www.sciencedirect.com/science/article/pii/S2352340920302948

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