2021
DOI: 10.48550/arxiv.2109.11830
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The More, the Better? A Study on Collaborative Machine Learning for DGA Detection

Arthur Drichel,
Benedikt Holmes,
Justus von Brandt
et al.

Abstract: Domain generation algorithms (DGAs) prevent the connection between a botnet and its master from being blocked by generating a large number of domain names. Promising single-data-source approaches have been proposed for separating benign from DGAgenerated domains. Collaborative machine learning (ML) can be used in order to enhance a classifier's detection rate, reduce its false positive rate (FPR), and to improve the classifier's generalization capability to different networks. In this paper, we complement the … Show more

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