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Markus Wurzenberger
Markus Wurzenberger
Подтвержден адрес электронной почты в домене ait.ac.at - Главная страница
Название
Процитировано
Процитировано
Год
System log clustering approaches for cyber security applications: A survey
M Landauer, F Skopik, M Wurzenberger, A Rauber
Computers & Security 92, 101739, 2020
962020
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
782018
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
482017
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
422018
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
372020
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
362017
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
352019
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
342023
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
262018
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
242018
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
222016
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
212022
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
202019
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
192016
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, 2016
182016
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
162020
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
162015
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
132022
Smart Log Data Analytics
F Skopik, M Wurzenberger, M Landauer
Springer International Publishing, 2021
132021
Countering targeted cyber-physical attacks using anomaly detection in self-adaptive Industry 4.0 Systems.
G Settanni, F Skopik, M Wurzenberger, R Fiedler
Elektrotech. Informationstechnik 135 (3), 278-285, 2018
132018
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