TY - CHAP U1 - Konferenzveröffentlichung A1 - Ahlers, Volker A1 - Laue, Tim A1 - Wellermann, Nils A1 - Heine, Felix T1 - Visualization of data cubes for anomaly detection in network traffic data streams T2 - 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) N2 - For anomaly-based intrusion detection in computer networks, data cubes can be used for building a model of the normal behavior of each cell. During inference an anomaly score is calculated based on the deviation of cell metrics from the corresponding normality model. A visualization approach is shown that combines different types of diagrams and charts with linked user interaction for filtering of data. KW - Network Security KW - Data Cubes KW - Multidimensional Analysis KW - User Interfaces KW - Information Visualization KW - Computersicherheit KW - Rechnernetz KW - Benutzeroberfläche KW - Visualisierung KW - Datenwürfel Y1 - 2021 UN - https://nbn-resolving.org/urn:nbn:de:bsz:960-opus4-21606 SN - 2770-4254 SS - 2770-4254 SN - 978-1-6654-2605-3 SB - 978-1-6654-2605-3 U6 - https://doi.org/10.25968/opus-2160 DO - https://doi.org/10.25968/opus-2160 SP - 272 EP - 277 PB - IEEE ER -