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DNS Threats Dataset

<p>The dataset contains Normal, DGA and Tunneling domain names: i. the total number of normal domains are conformed by the Alexa top one million domains, 3,161 normal domains provided by the Bambenek Consulting feed, and another 177,017 normal domains; ii. the DGA domains were obtained from the repositories of DGA domains of Andrey Abakumov&nbsp;and John Bambenek, corresponding to 51 different malware families; iii.&nbsp;the DNS Tunneling consist of&nbsp;8000 tunnel domains&nbsp;generated using a set of well known DNS tunneling tools under laboratory conditions: iodine, dnscat2&nbsp;and dnsExfiltrator.</p> <p>The dataset is described in the paper:<br> Palau, F., Catania, C., Guerra, J., Garc&iacute;a, S. J., &amp; Rigaki, M. (2019). Detecting DNS threats: A deep learning model to rule them all. In XX Simposio Argentino de Inteligencia Artificial (ASAI 2019)-JAIIO 48 (Salta).</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4

Topics

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