Generative Adversarial Networks (GANs) have seen significant interest since their
introduction in 2014. While originally focused primarily on image-based tasks, their capacity …

Abstract The Internet of Things (IoT) refers to a network of Internet-enabled devices that can
make different operations, like sensing, communicating, and reacting to changes arising in …

The distributed denial-of-service (DDoS) attack is a security challenge for the software-
defined network (SDN). The different limitations of the existing DDoS detection methods …

Enhancing Network Intrusion Detection Systems (NIDS) with supervised Machine Learning
(ML) is tough. ML-NIDS must be trained and evaluated, operations requiring data where …

Recently Internet of Things (IoT) attains tremendous popularity, although this promising
technology leads to a variety of security obstacles. The conventional solutions do not suit the …

This paper applies an organized flow of feature engineering and machine learning to detect
distributed denial-of-service (DDoS) attacks. Feature engineering has a focus to obtain the …

Malicious attacks are becoming more prevalent due to the growing use of Internet of Things
(IoT) devices in homes, offices, transportation, healthcare, and other locations. By …

The introduction of the Internet of Things has led to the connectivity of millions of devices
with less human interaction. This demand in connectivity has resulted in a surge in network …

In the age of sophisticated cyber threats, botnet detection remains a crucial yet complex
security challenge. Existing detection systems are continually outmaneuvered by the …

Botnets, groups of malware-infected hosts controlled by malicious actors, have gained
prominence in an era of pervasive computing and the Internet of Things. Botnets have …