A distributed denial-of-service (DDoS) attack is a malicious operation that seeks to disrupt the legitimate flow of traffic to a server, service, or network by flooding it with overwhelming network ...

In this study, present a comprehensive analysis of detecting Distributed Denial of Service (DDoS) attacks using advanced deep learning models, including a Deep Neural Network (DNN), Convolutional ...

Therefore, effective detection mechanisms are crucial to identify and mitigate DDoS attacks in SDN-based cloud environments. This study presents a novel approach that combines Decision Tree with Long ...

Researchers combined entropy-based detection with machine learning clustering to effectively identify and mitigate DDoS attacks in software-defined networks. The approach demonstrated superior ...