Home networks increasingly support important networked applications with limited
professional network administration support, while sophisticated attacks pose enormous …

Convolutional Neural Networks (CNNs) models are one of the most frequently used deep
learning networks, and extensively used in both academia and industry. Recent studies …

Botnet is a network of infected workstations that are remotely managed by BotMaster via the
command and control (C&C) server. Botnets pose a serious threat to network security since …

Botnets are a severe threat to a computer network, affecting various aspects of security
systems, including spreading malicious programs, phishing, sending spam messages, and …

The Internet has become an essential part of life, especially after the COVID-19 pandemic.
The increasing use of technology brings new challenges. Cyber security has emerged as a …

Threats on computer networks have been increasing rapidly, and irresponsible parties are
always trying to exploit vulnerabilities in the network to do various dangerous things. One …

Abstract Domain Generation Algorithms (DGAs) are often used for generating huge amounts
of domain names to maintain command and control between the infected computer and the …

Abstract Domain Generation Algorithms (DGAs) are highly effective strategies employed by
malware to establish connections with Command and Control (C2) servers. Mitigating DGAs …

The DGA botnet prevention is a burning topic in cybersecurity, with two problems: detection
and classification. The DGA botnet dataset plays an essential role in the research allowing …

In this paper, we addressed the problem of dataset scarcity for the task of network intrusion
detection. Our main contribution was to develop a framework that provides a complete …