Mathew is a doctoral candidate at the Organisation & Governance department of the faculty of Technology, Policy and Management of Delft University of Technology. At the same university, he has received both a BSc degree in Computer Science and Engineering, as well as a MSc degree in Computer Science with a specialization in cyber security. His master’s thesis examined (machine learning-based) network intrusion detection systems (NIDSs), their effectiveness in practice, and methods for their proper evaluation in real-world settings.
In 2019 he joined the university as a PhD researcher. Mathew’s current research similarly includes NIDS performance and management processes within organizations, as well as external network asset discovery and security incident prediction.
Ruling the Rules
Quantifying the Evolution of Rulesets, Alerts and Incidents in Network Intrusion Detection
Mathew Vermeer / Michel Van Eeten / Carlos Gañán
SoK: A framework for asset discovery
Systematizing advances in network measurements for protecting organizations
Mathew Vermeer / Jonathan West / Alejandro Cuevas / Shuonan Niu / Nicolas Christin / Michel Van Eeten / Carlos Gañán / Tyler Moore / T. Fiebig