Over the last few years, the adoption of machine learning in a wide range of domains has
been remarkable. Deep learning, in particular, has been extensively used to drive …

Botnets are one of the major cyber infections used in several criminal activities. In most
botnets, a Domain Generation Algorithm (DGA) is used by bots to make DNS queries aimed …

Botnets extensively leverage Domain Generation Algorithms (DGAs) to establish reliable
communication channels between bots and Command and Control (C&C) servers …

Domain generation algorithms (DGAs) are commonly leveraged by malware to create lists of
domain names, which can be used for command and control (C&C) purposes. Approaches …

In this work, we conduct a comprehensive study on the robustness of domain generation
algorithm (DGA) classifiers. We implement 32 white-box attacks, 19 of which are very …

A botnet is a network of remote-controlled devices that are infected with malware controlled
by botmasters in order to launch cyber attacks. To evade detection, the botmaster frequently …

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 …

Attackers often use domain generation algorithms (DGAs) to create various kinds of
pseudorandom domains dynamically and select a part of them to connect with command …

A crucial technical challenge for cybercriminals is to keep control over the potentially
millions of infected devices that build up their botnets, without compromising the robustness …

The problem of revealing botnet activity through Domain Generation Algorithm (DGA)
detection seems to be solved, considering that available deep learning classifiers achieve …