This project aims to develop a network intrusion detection application that monitors network traffic in real time and generates alerts upon detecting suspicious activities or attack patterns.
Study network protocols and intrusion types Capture network packets using monitoring tools Extract features from traffic data Implement rule-based or machine learning detection model Identify abnormal traffic behavior Generate real-time alerts for administrators Log detected intrusions securely Design dashboard for traffic visualization Test detection using simulated attacks Evaluate detection accuracy Document system architecture and testing results
