One-Class Intrusion Detection with Dynamic Graphs

Aleksei Liuliakov, Alexander Schulz, Luca Hermes, Barbara Hammer

Abstract: With the growing digitalization all over the globe, the relevance of network security becomes increasingly important. Machine learning-based intrusion detection constitutes a promising approach for improving security, but it bears several challenges. These include the requirement to detect novel and unseen network events, as well as specific data properties, such as events over time together with the inherent graph structure of network communication.