Application-based Anomalous Communication Detection

This bachelor thesis deals with the analysis, design and implementation of a system for detecting anomalous network communication activities using high-level characteristics. The thesis contains a theoretical basis for the detection of anomalies using countries, autonomous systems and applications that are used to communicate. It also contains information about the techniques and methods of machine learning needed for implementation. The practical part describes the design, use and implementation of individual technologies. The result of this work is detection based on multiple machine learning methods, mostly classification