33 citations · 49 across the 2 of their papers we have counts for
2 papers
cs.CR2020★ 16 cited
Making Use of NXt to Nothing: The Effect of Class Imbalances on DGA Detection Classifiers
Arthur Drichel, Ulrike Meyer, Samuel Schüppen +1
Numerous machine learning classifiers have been proposed for binary classification of domain names as either benign or malicious, and even for multiclass classification to identify…
cs.CR2020★ 33 cited
Analyzing the Real-World Applicability of DGA Classifiers
Arthur Drichel, Ulrike Meyer, Samuel Schüppen +1
Separating benign domains from domains generated by DGAs with the help of a binary classifier is a well-studied problem for which promising performance results have been published.…