ML based D3 R: Detecting DDoS using Random Forest

Abstract

DDoS attacks are a major security risk to cloud servers and websites. To defend against these attacks, techniques such as reducing server vulnerabilities can be employed. In this study, the Random Forest algorithm is used to detect and prevent DDoS attacks, enhancing cloud security and minimizing attack damage by collecting network traffic data as input, where the performance of RF is analyzed. Results demonstrate the effectiveness of Random Forest in mitigating DDoS attacks in cloud environments.