AIRC Team

Network traffic anomaly detection is an important technique of ensuring network security. An intrusion detection system (IDS) is a device or software application that monitors a network for malicious activity or policy violations. Any malicious activity or violation is typically reported either to an administrator or collected centrally. An anomaly-based intrusion detection system is an intrusion detection system (IDS) for detecting network and computer intrusions and misuse by monitoring system activity and classifying it as either normal or anomalous. This research is mainly focused on applying Deep Learning techniques to identify and detect anomalies in network packets and flows.