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Max Landauer is a scientist at the Austrian Institute of Technology, Wien, 1210, Austria. His main research interests are log data analysis, anomaly detection (AD), and cyberthreat intelligence. Landauer is a Ph.D. candidate in computer science at the Vienna University of Technology. His Ph.D. studies are a cooperative project between the Vienna University of Technology and the Austrian Institute of Technology. For his dissertation, he is working on an automatic threat intelligence mining approach that extracts actionable cyberthreat intelligence from raw log data. The goal of this research is to transform threat information shared by different organizations into abstract alert patterns that allow detection and classification of similar attacks. Landauer has multiple years of experience with nationally and internationally funded projects in numerous areas, including machine learning, artificial intelligence, cyberphysical systems, and digital service chains. Contact him at max.landauer@ait.ac.at.
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Machine Learning with Applicationspp.100554, (2024)
crossref(2023)
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (2022)
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