| 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 | 19 | 2017 |
| 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 | 18 | 2018 |
| Correlating cyber incident information to establish situational awareness in Critical Infrastructures G Settanni, Y Shovgenya, F Skopik, R Graf, M Wurzenberger, R Fiedler Privacy, Security and Trust (PST), 2016 14th Annual Conference on, 78-81, 2016 | 13 | 2016 |
| Time Series Analysis: Unsupervised Anomaly Detection Beyond Outlier Detection M Landauer, M Wurzenberger, F Skopik, G Settanni, P Filzmoser International Conference on Information Security Practice and Experience, 19-36, 2018 | 12 | 2018 |
| Protecting cyber physical production systems using anomaly detection to enable self-adaptation G Settanni, F Skopik, A Karaj, M Wurzenberger, R Fiedler 2018 IEEE Industrial Cyber-Physical Systems (ICPS), 173-180, 2018 | 12 | 2018 |
| Establishing national cyber situational awareness through incident information clustering F Skopik, M Wurzenberger, G Settanni, R Fiedler 2015 International Conference on Cyber Situational Awareness, Data Analytics …, 2015 | 11 | 2015 |
| Complex log file synthesis for rapid sandbox-benchmarking of security-and computer network analysis tools M Wurzenberger, F Skopik, G Settanni, W Scherrer Information Systems 60, 13-33, 2016 | 10 | 2016 |
| Acquiring Cyber Threat Intelligence through Security Information Correlation G Settanni, Y Shovgenya, F Skopik, R Graf, M Wurzenberger, R Fiedler Cybernetics (CYBCONF), 2017 3rd IEEE International Conference on, 1-7, 2017 | 8 | 2017 |
| Discovering insider threats from log data with high-performance bioinformatics tools M Wurzenberger, F Skopik, R Fiedler, W Kastner Proceedings of the 8th ACM CCS International Workshop on Managing Insider …, 2016 | 8 | 2016 |
| AECID: A Self-learning Anomaly Detection Approach Based on Light-weight Log Parser Models M Wurzenberger, F Skopik, G Settanni, R Fiedler 4th International Conference on Information Systems Security and Privacy …, 2018 | 6 | 2018 |
| Applying High-Performance Bioinformatics Tools for Outlier Detection in Log Data M Wurzenberger, F Skopik, R Fiedler, W Kastner Cybernetics (CYBCONF), 2017 3rd IEEE International Conference on, 1-10, 2017 | 6 | 2017 |
| Towards a resilience metric framework for cyber-physical systems I Friedberg, K McLaughlin, P Smith, M Wurzenberger 4th International Symposium for ICS & SCADA Cyber Security Research 2016 4 …, 2016 | 6 | 2016 |
| System log clustering approaches for cyber security applications: A survey M Landauer, F Skopik, M Wurzenberger, A Rauber Computers & Security 92, 101739, 2020 | 4 | 2020 |
| 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 | 4 | 2019 |
| synERGY: Detecting Advanced Attacks Across Multiple Layers of Cyber-Physical Systems F Skopik, M Wurzenberger, R Fiedler ERCIM NEWS, 30-31, 2018 | 1 | 2018 |
| From Monitoring, Logging, and Network Analysis to Threat Intelligence Extraction I Friedberg, M Wurzenberger, A Al Balushi, B Kang Collaborative Cyber Threat Intelligence, 69-127, 2017 | 1 | 2017 |
| 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 | | 2020 |
| 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 | | 2020 |
| Visualizing Syscalls using Self-organizing Maps for System Intrusion Detection. M Landauer, F Skopik, M Wurzenberger, W Hotwagner, A Rauber ICISSP, 349-360, 2020 | | 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 | | 2019 |
Florian SkopikAIT Austrian Institute of TechnologyVerified email at ait.ac.at
