Data for: Detection of Algorithmically Generated Malicious Domain Names using Masked N-Grams

Published: 28 Jan 2019 | Version 1 | DOI: 10.17632/gwnwdgzts3.1
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Description of this data

It contains the dataset used for the experimentation. Specifically, there are two text files, each containing 32000 different domain names. One file is clean domain names, the other file contains DGA domains.

Experiment data files

This data is associated with the following publication:

Detection of algorithmically generated malicious domain names using masked N-grams

Published in: Expert Systems with Applications

Latest version

  • Version 1

    2019-01-28

    Published: 2019-01-28

    DOI: 10.17632/gwnwdgzts3.1

    Cite this dataset

    Selvi, José; Rodriguez, Ricardo J.; Soria, Emilio (2019), “Data for: Detection of Algorithmically Generated Malicious Domain Names using Masked N-Grams”, Mendeley Data, v1 http://dx.doi.org/10.17632/gwnwdgzts3.1

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Categories

Network Security, Malware Mitigation

Licence

CC BY NC 3.0 Learn more

The files associated with this dataset are licensed under a Attribution-NonCommercial 3.0 Unported licence.

What does this mean?

You are free to adapt, copy or redistribute the material, providing you attribute appropriately and do not use the material for commercial purposes.

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