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Koen Teuwen is a PhD student at the Security research group where he focuses on the intersection of automation, intrusion detection, and incident response. His research combines several topics from the Security and Machine Learning (ML) domains. More concretely, he analyzes the Network Intrusion Detection problem space to better understand shortcomings of current Intrusion Detection Systems (IDS). He firmly believes that enhanced domain knowledge will eventually lead to more effective solutions. While these topics form the technical core of his work, he keeps a close eye on stakeholder requirements from the application domain to ensure conducted research eventually results in practical solutions to open issues. Adoption of state-of-the-art research could provide increased digital resilience. Koen believes providing a meaningful contribution to our society is imperative.

Koen started his academic studies in 2017 at Eindhoven University of Technology (黑料福利网) where he studied Computer Science & Engineering. During his studies he was active at GEWIS where he took an interest in web development. After obtaining his bachelor degree cum laude, he continued his studies in Eindhoven with the Information Security Technology master program, during which he also attended courses at Radboud University in Nijmegen. His master鈥檚 thesis combined several topics related to intrusion detection and response, which finally resulted in his MSc thesis titled 鈥淎utomating Generation of Cyber Threat Intelligence Content through Threat Attribution of Botnet Incidents鈥�. After successfully completing his masters, he commenced as a PhD candidate at the Security research group (SEC), which is part of the department of Mathematics and Computer Science (M&CS).