The increase in the Distributed Denial of Service attack (DDoS) leads to a significant threat to the network security. Inability to timely and accurately detect DDoS attacks disrupts services offered ...

Software-Defined Networking (SDN) has a unique architecture, however it is highly susceptible to Distributed Denial-Of-Service (DDoS) attacks targeting its control and data planes. This paper reviews ...

It is necessary to work with the latest dataset to identify the current state of DDoS attacks. This paper, used a machine learning approach for DDoS attack types classification and prediction.For this ...

This project implements a feature engineering and machine learning framework for detecting Distributed Denial of Service (DDoS) attacks in the Internet of Things (IoT) environment. The framework ...

Revolutionizing Cybersecurity: Himmat Rathore's Breakthrough in DDoS Detection with Machine Learning and Explainable AI. Manish Saini Published on: 3 October 2024 5:35 pm ...