AI has provided us with the ability to automate tasks, extract information from vast amounts of
data, and synthesize media that is nearly indistinguishable from the real thing. However …

Abstract Adversarial Machine Learning (AML) is a recently introduced technique, aiming to
deceive Machine Learning (ML) models by providing falsified inputs to render those models …

Cybercriminals use domain generation algorithms (DGAs) to prevent their servers from
being potentially blacklisted or shut down. Existing reverse engineering techniques for DGA …

We investigated 12 years DNS query logs of our campus network and identified phenomena
of malicious botnet domain generation algorithm (DGA) traffic. DGA-based botnets are …

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

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 …

Industry 5.0 provides resource-efficient solutions compared to Industry 4.0. Edge Computing
(EC) allows data analysis on edge devices. Artificial intelligence (AI) has become the focus …

In the dense data communication environment of 5G wireless networks, with the dramatic
increase in the amount of request computation tasks generated by intelligent wireless …

Botnets are machines that are increasingly controlled by cybercriminals to perform various
attacks. Traditional methods of defense, such as blocklisting, become ineffective because …

This paper aims to contribute to the adversarial defense research gap in the current state-of-
the-art of adversarial machine learning (ML) attacks and defense. More specifically, it …