Creating Character-based Templates for Log Data to Enable Security Event Classification. - Markus Wurzenberger; Georg Höld; Max Landauer; Florian Skopik; Wolfgang Kastner (AsiaCCS, 2020)

Iterative Selection of Categorical Variables for Log Data Anomaly Detection. - Max Landauer; Georg Höld; Markus Wurzenberger; Florian Skopik; Andreas Rauber (ESORICS (1), 2021)

A User and Entity Behavior Analytics Log Data Set for Anomaly Detection in Cloud Computing. - Max Landauer; Florian Skopik; Georg Höld; Markus Wurzenberger (IEEE Big Data, 2022)

AMiner: A Modular Log Data Analysis Pipeline for Anomaly-based Intrusion Detection. - Max Landauer; Markus Wurzenberger; Florian Skopik; Wolfgang Hotwagner; Georg Höld (DTRAP, 2023)

Behavior-Based Anomaly Detection in Log Data of Physical Access Control Systems. - Florian Skopik; Markus Wurzenberger; Georg Höld; Max Landauer; Walter Kuhn (IEEE Trans. Dependable Secur. Comput., 2023)

Analysis of statistical properties of variables in log data for advanced anomaly detection in cyber security. - Markus Wurzenberger; Georg Höld; Max Landauer; Florian Skopik (Comput. Secur., 2024)