Scholar
Markus Wurzenberger
Google Scholar ID: tQQ5llMAAAAJ
AIT Austrian Institute of Technology
Citations & Impact
Citations
1,198
H-index
19
i10-index
28
Publications
20
Co-authors
22
list available
Publications
Resume (English only)
Academic Achievements
- Published 'Dealing with Security Alert Flooding: Using Machine Learning for Domain-Independent Alert Aggregation' in ACM Trans. Priv. Secur., which presents a domain-independent alert aggregation technique to reduce the number of alerts for human review.
Research Experience
- Full-time scientist at AIT since 2014, working in the field of cybersecurity. Key researcher in AIT’s anomaly detection project AECID. Developed AMiner, a software component for log analysis using machine learning, AI, and statistics, as part of this project.
Education
- PhD in Computer Science from TU Wien in 2021, focusing on resource-efficient log analysis for enabling online anomaly detection in cybersecurity. Master's degree in Technical Mathematics from TU Wien in 2015.
Background
- Scientist in the Cyber Security research group at AIT Austrian Institute of Technology, Vienna, Austria. Main research interests include log data analysis, with a focus on anomaly detection and cyber threat intelligence (CTI).
