Detection of SYN Flood Attacks

In this project, we developed a machine learning model to detect "Neptune" SYN flood attacks in network activity logs and performed various steps like data preparation, feature scaling, model training, model evaluation and prediction too. This model provides an effective tool for network administrators to identify and mitigate SYN flood attacks, enhancing network security and resilience against denial-of-service threats.