Anomaly detection in communication networks provides the basis for the uncovering of
novel attacks, misconfigurations and network failures. Resource constraints for data storage, …

… Zseby … Tanja Zseby … EMail: zseby@fokus.fhg.de …

The detection of anomalies in streaming data faces complexities that make traditional static
methods unsuitable due to computational costs and nonstationarity. We test and evaluate …

Smart grids utilize communication technologies that make them vulnerable to cyber attacks.
Because the power grid is a critical infrastructure, it is a tempting target for sophisticated and …

… Zseby … Zseby, "Stratification Strategies for Sampling-based … Tanja Zseby …

Recurrent Neural Networks (RNNs) yield attractive properties for constructing Intrusion
Detection Systems (IDSs) for network data. With the rise of ubiquitous Machine Learning (ML) …

eBPF is a new technology which allows dynamically loading pieces of code into the Linux
kernel. It can greatly speed up networking since it enables the kernel to process certain …

Malicious botnets have become a common threat and pervade large parts of the Internet
today. Existing surveys and taxonomies focus on botnet topologies, command and control …

Featured Application Optimal design of feature vectors for early-phase attack detection in
large communication networks. Abstract The consolidation of encryption and big data in …

YouTube is the most popular service in today's Internet. Google relies on its massive content
delivery network (CDN) to push YouTube videos as close as possible to the end-users, both …