Markus is a graduate from the University of Applied Sciences Upper Austria, Campus Hagenberg with a BSc in Secure Information Systems and an MSc in Data Science and Engineering. He joined Dynatrace in 2019 to work on his master thesis on early detection of cyber-attacks on web applications. After graduation, he worked on an internal data analysis platform to provide insights on development and trends of the adoption of security functionality.
Prior to his studies, Markus worked as a software engineer in the area of smart home and IoT appliances, where he became interested in cyber security. Throughout his undergraduate studies, he explored various attack vectors, became an avid participant in capture-the-flag competitions and developed an interest in data analysis. During his graduate studies, he learned to efficiently apply machine learning algorithms to security use cases. His current research focus is on the intersection of cyber security and data mining, where he specialized in behavioral analytics and process mining.
Authored publications
Context-Aware Security Intelligence of Vulnerability Scanners in Cloud-native Environments
Even as black-box web vulnerability scanners help identify security vulnerabilities of web applications, they still have problems with false alarms, as they lack insight into the context of applications. Without this supplemental information like the topology of the underlying application or the runtime, scanners cannot precisely assess a threat’s ...
Simon Ammer, Jens Krösche, Markus Gierlinger, Mario Kahlhofer
| ADAPTIVE 2022, The Fourteenth International Conference on Adaptive and Self-Adaptive Systems and Applications | 2022
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