DDoS Detection using Machine Learning Techniques

A Distributed Denial of Service (DDoS) attack is a type cyber-attack that attempts to interrupt regular traffic on targeted server by overloading the target. The system under DDoS remains occupied with requests from bots rather than providing service legitimate users. These kinds attacks are complicated detect and increase day day. In this paper, machine learning algorithm employed classify normal traffic. detected using four classification techniques. algorithms tested trained CICDDoS2019 dataset, gathered Canadian Institute Cyber Security. When compared against KNN, Decision Tree, Random Forest, Artificial Neural Network (ANN) generates best results.