Max Landauer

Deep learning for anomaly detection in log data: A survey

Max Landauer, Sebastian Onder, Florian Skopik et al. · Machine Learning with Applications · 2023 · 149 citations · Full text

System log clustering approaches for cyber security applications: A survey

Max Landauer, Florian Skopik, Markus Wurzenberger et al. · Computers & Security · 2020 · 106 citations · Full text

Anomaly Detection, Engineering, Information Security +20

Dynamic log file analysis: An unsupervised cluster evolution approach for anomaly detection

Max Landauer, Markus Wurzenberger, Florian Skopik et al. · Computers & Security · 2018 · 69 citations · Full text

Cluster Computing, Anomaly Detection, Engineering +18

Have it Your Way: Generating Customized Log Datasets With a Model-Driven Simulation Testbed

Max Landauer, Florian Skopik, Markus Wurzenberger et al. · IEEE Transactions on Reliability · 2020 · 46 citations · Full text

Engineering, Information Security, Software Engineering +33

Incremental Clustering for Semi-Supervised Anomaly Detection applied on Log Data

Markus Wurzenberger, Florian Skopik, Max Landauer et al. · 2017 · 44 citations

Anomaly Detection, Machine Learning, Engineering +18