With the increasing severity and frequency of cyberattacks, the rapid expansion of smart
objects intensifies cybersecurity threats. The vast communication traffic data between …

The yearly increase in incidents of credit card fraud can be attributed to the rapid growth of e-
commerce. To address this issue, effective fraud detection methods are essential. Our …

The rise of grid modernization has been prompted by the escalating demand for power, the
deteriorating state of infrastructure, and the growing concern regarding the reliability of …

This study aims to empirically analyze teaching-learning-based optimization (TLBO) and
machine learning algorithms using k-means and fuzzy c-means (FCM) algorithms for their …

Software-defined networking (SDN) provides programmability, manageability, flexibility and
efficiency compared to traditional networks. These are owing to the SDN's mutual …

Abstract Distributed Denial of Service (DDoS) attack is one of the most destructive internet
network attacks, denying legitimate users access to resources and networks by maliciously …

In the contemporary world of highly efficient technological development, fifth-generation
technology (5G) is seen as a vital step forward with theoretical maximum download speeds …

Distributed Denial of Service (DDoS) attacks pose a severe threat to network infrastructures,
causing downtime and significant financial losses. Machine learning (ML) algorithms have …

A distributed denial-of-service (DDoS) is a malicious attempt by attackers to disrupt the
normal traffic of a targeted server, service or network. This is done by overwhelming the …

Nowadays, the number of Distributed Denial of Service (DDoS) attacks is growing rapidly.
The aim of these type of attacks is to make the prominent and critical services unavailable for …