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Explaining Machine Learning DGA Detectors from DNS Traffic Data. (arXiv:2208.05285v1 [cs.CR])
Aug. 11, 2022, 1:20 a.m. | Giorgio Piras, Maura Pintor, Luca Demetrio, Battista Biggio
cs.CR updates on arXiv.org arxiv.org
One of the most common causes of lack of continuity of online systems stems
from a widely popular Cyber Attack known as Distributed Denial of Service
(DDoS), in which a network of infected devices (botnet) gets exploited to flood
the computational capacity of services through the commands of an attacker.
This attack is made by leveraging the Domain Name System (DNS) technology
through Domain Generation Algorithms (DGAs), a stealthy connection strategy
that yet leaves suspicious data patterns. To detect such …
More from arxiv.org / cs.CR updates on arXiv.org
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