| Dynamic log file analysis: An unsupervised cluster evolution approach for anomaly detection M Landauer, M Wurzenberger, F Skopik, G Settanni, P Filzmoser computers & security 79, 94-116, 2018 | 70 | 2018 |
| System log clustering approaches for cyber security applications: A survey M Landauer, F Skopik, M Wurzenberger, A Rauber Computers & Security 92, 101739, 2020 | 68 | 2020 |
| Incremental clustering for semi-supervised anomaly detection applied on log data M Wurzenberger, F Skopik, M Landauer, P Greitbauer, R Fiedler, ... Proceedings of the 12th International Conference on Availability …, 2017 | 41 | 2017 |
| Have it your way: Generating customized log datasets with a model-driven simulation testbed M Landauer, F Skopik, M Wurzenberger, W Hotwagner, A Rauber IEEE Transactions on Reliability 70 (1), 402-415, 2020 | 25 | 2020 |
| A framework for cyber threat intelligence extraction from raw log data M Landauer, F Skopik, M Wurzenberger, W Hotwagner, A Rauber 2019 IEEE International Conference on Big Data (Big Data), 3200-3209, 2019 | 24 | 2019 |
| Time series analysis: unsupervised anomaly detection beyond outlier detection M Landauer, M Wurzenberger, F Skopik, G Settanni, P Filzmoser Information Security Practice and Experience: 14th International Conference …, 2018 | 23 | 2018 |
| Aecid-pg: A tree-based log parser generator to enable log analysis M Wurzenberger, M Landauer, F Skopik, W Kastner 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 7-12, 2019 | 18 | 2019 |
| synERGY: Cross-correlation of operational and contextual data to timely detect and mitigate attacks to cyber-physical systems F Skopik, M Landauer, M Wurzenberger, G Vormayr, J Milosevic, J Fabini, ... Journal of Information Security and Applications 54, 102544, 2020 | 15 | 2020 |
| Dealing with security alert flooding: using machine learning for domain-independent alert aggregation M Landauer, F Skopik, M Wurzenberger, A Rauber ACM Transactions on Privacy and Security 25 (3), 1-36, 2022 | 9 | 2022 |
| Smart Log Data Analytics: Techniques for Advanced Security Analysis F Skopik, M Wurzenberger, M Landauer Springer, 2021 | 9 | 2021 |
| Creating character-based templates for log data to enable security event classification M Wurzenberger, G Höld, M Landauer, F Skopik, W Kastner Proceedings of the 15th ACM Asia Conference on Computer and Communications …, 2020 | 7 | 2020 |
| Enabling exercises, education and research with a comprehensive cyber range. M Leitner, M Frank, G Langner, M Landauer, F Skopik, P Smith, B Akhras, ... J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 12 (4), 37-61, 2021 | 6 | 2021 |
| Deep learning for anomaly detection in log data: A survey M Landauer, S Onder, F Skopik, M Wurzenberger Machine Learning with Applications 12, 100470, 2023 | 5 | 2023 |
| Maintainable Log Datasets for Evaluation of Intrusion Detection Systems M Landauer, F Skopik, M Frank, W Hotwagner, M Wurzenberger, ... IEEE Transactions on Dependable and Secure Computing, 2022 | 4 | 2022 |
| Online log data analysis with efficient machine learning: A review F Skopik, M Landauer, M Wurzenberger IEEE Security & Privacy 20 (3), 80-90, 2021 | 4 | 2021 |
| Blind spots of security monitoring in enterprise infrastructures: a survey F Skopik, M Landauer, M Wurzenberger IEEE Security & Privacy 20 (06), 18-26, 2022 | 3 | 2022 |
| A framework for automatic labeling of log datasets from model-driven testbeds for HIDS evaluation M Landauer, M Frank, F Skopik, W Hotwagner, M Wurzenberger, ... Proceedings of the 2022 ACM Workshop on Secure and Trustworthy Cyber …, 2022 | 3 | 2022 |
| Iterative selection of categorical variables for log data anomaly detection M Landauer, G Höld, M Wurzenberger, F Skopik, A Rauber Computer Security–ESORICS 2021: 26th European Symposium on Research in …, 2021 | 3 | 2021 |
| Visualizing Syscalls using Self-organizing Maps for System Intrusion Detection. M Landauer, F Skopik, M Wurzenberger, W Hotwagner, A Rauber ICISSP, 349-360, 2020 | 3 | 2020 |
| Aminer: A modular log data analysis pipeline for anomaly-based intrusion detection M Landauer, M Wurzenberger, F Skopik, W Hotwagner, G Höld Digital Threats: Research and Practice 4 (1), 1-16, 2023 | 2 | 2023 |
Florian SkopikAIT Austrian Institute of TechnologyVerified email at ait.ac.at
