Metodika pre efektívne monitorovanie a detekciu anomálií v sieťovej prevádzke na FRI

The work focuses on effective monitoring and detection of anomalies in network traffic using Flowmon. In this work we can find effective methods of monitoring using Flowmon module called Flowmon Monitoring Center and effective methods of detection of anomalies using module called Flowmon Anomaly Detection System. This work describes possibilities of this tool and how to use gathered information correctly.The first part of this thesis describes method of capturing of traffic using technology of flow data. The second part describes options of each module in Flowmon. In third part of this thesis we can find outputs from Flowmon and their detailed analysis. In the last part we can find analysis of dataset using Flowmon.