DDoS Attack Detection Using Machine Learning Techniques.

The proposed research project aims to detect DDos attacks using different machine learning algorithms. Distributed Denial of Service (DDoS) attacks have emerged as one of the most destructive and common threats. These attacks disrupt or slow down network services by overwhelming the network infrastructure with a massive volume of malicious traffic. This research will include the detection of protocol layer, application layer and transport layer. This research will work on different datasets using various machine learning algorithms.