Distributed Denial of Service (DDoS) attacks pose a considerable threat to Cloud
Computing, Internet of Things (IoT) and other services offered on the Internet. The victim …

With the development of blockchain, artificial intelligence, and data mining technology,
abnormal network traffic data has become easy to obtain. The traffic detection model detects …

The detection and mitigation of DDoS attacks require a system to analyze and process the
incoming network flow in a live capture manner. In this scenario, an efficient analysis …

DDoS attacks, which fall under the category of cybercrime in the contemporary scene, are
simple to launch yet pose enormous consequences. DDoS attacks are classified into …

In today's time Software Defined Network (SDN) gives the complete control to get the data
flow in the network. SDN works as a central point to which data is administered centrally and …

In today's technological era, anomaly detection is a major concern in front of network users.
Due to the development of various network techniques, network users are also increased …

Currently, there is an enormous disturbance regarding privacy in information and
communication technology around the scientific community. Since any assault or …

This research presents a comprehensive approach to network traffic management and
analysis by leveraging DNS log analysis, machine learning techniques, and Software …

The network's infrastructure becomes more vulnerable to cyber-attacks as the number of
services offered through the internet expands. The complexity of" Distributed Denial-of …

In recent years, the rising number of attacks against the living environment has raised the
question of computer and network systems regarding Cybersecurity. These days, a large …