M. Vermeer
M. Vermeer
Profiel
Biografie
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.
Expertise
Publicaties
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2024
From the Outside In
Predicting internal security incidents with external network data
M. Vermeer -
2023
Alert Alchemy
SOC Workflows and Decisions in the Management of NIDS Rules
Mathew Vermeer / Natalia Kadenko / Michel van Eeten / Carlos Gañán / Simon Parkin -
2022
Ruling the Rules
Quantifying the Evolution of Rulesets, Alerts and Incidents in Network Intrusion Detection
Mathew Vermeer / Michel Van Eeten / Carlos Gañán -
2021
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 -