Michel van Eeten
Michel van Eeten's chair focuses on the Governance of Cybersecurity. He studies the interplay between technological design and economic incentives in Internet security. His team analyses large-scale Internet measurement and incident data to identify how the markets for Internet services deal with security risks. He is also a member of the Dutch Cyber Security Council, an advisory body of the government.
Wolter's research focuses on communication, decision making and behaviour in cybersecurity. He studies how cybersecurity information is framed, how it can be communicated more effectively, and how this impacts decisions and behaviours. In relation to decision making, he is also interested in the ethics of cyber security.
Carlos H. Gañán
Carlos’s research focuses on the cybersecurity of the Internet of Things by looking at the interplay of technology evolution, economics and society. Leveraging evidence-based research methodologies, he explores the security requirements of connected products and services for a safe and sustainable future.
Sélinde van Engelenburg
Sélinde's research focuses on the rise of new technologies, particularly in the field of AI, and how these provide new opportunities and threats for cybersecurity. Previously, she has worked on designing context-aware architectures for business-to-government information sharing to enhance safety and security. In addition, she has a background in AI and distributed ledger technology.
Natalia I. Kadenko
Natalia Kadenko is looking into cybersecurity governance in the EU for CyberSec4Europe project. In plain words, she aims to contribute to optimizing European cooperation in the field of cybersecurity. Apart from this ambitious task, her research interests include discourse construction in the policy-making, identities, framing in conflicts, and “fake news”. In her previous capacities as analyst and editor Natalia specialized in writing about international politics for broader audiences.
Kate (Katsiaryna) Labunets
Kate's work focuses on cyber risk management and security behavior. She studies the notion of security behavior, conducts empirical studies with stakeholders on the actual security behavior and its drivers, and does research towards a behavioral model for organization protection.
Ugur’s research areas are cyber security data analytics and application of machine learning over network security problems. He recently studied on empirical analysis of cybercrime products and services in the underground markets and hacking forums. Previously, he also applied various artificial intelligence algorithms for distributed network anomaly detection of pre-DDoS attacks.
Xander’s work is motivated by opportunities for collaborative security, in which defenders work together and share information in order to reduce asymmetries vis-à-vis attackers. He is interested in cyber threat intelligence sharing and public-private cooperation for critical infrastructure protection.
Mannat’s work is based on the need to better understand the human-in-the-loop and create systems around the human operator instead of the other way round. She is interested in studying human performance in security-critical environments. The aim of her PhD project is to investigate the human factors in cybersecurity and subsequently, devise methods to cope with security misconfigurations attributed to the so-called human errors.
Arwa has a background in Cybersecurity. She is in first year PhD where her main research focus is in Malware and Reverse Engineering, specifically, on IoT malware. Currently, she is working on analyzing and reverse engineering the existing IoT malware in order to classify them. What keeps Arwa motivated and up to beat and analyze malicious programs is joy of doing some hiking, cooking and, of course, living with her cat!
Arman’s main research is on developing security reputation metrics with a more specific focus on hosting providers. In short it is about understanding the factors that drive the (in)security of the hosting market and to develop methods by which the levels of (in)security can be externally measured from data. To this aim, he draws techniques and tools from several fields including economics of information security, computer science, Internet measurements, data analytics and social science to examine the complex problem of criminal abuse of hosting providers and ways to mitigate and deal with the problem.
Elsa Turcios Rodriguez
In February 2019, Elsa has begun her PhD research at the faculty of Technology, Policy and Management. This PhD project aims to mitigate Internet of Things (IoT) distributed denial-of-service (DDoS) attacks via Domain Name System (DNS). Elsa believes that IoT technology is a game changer in our daily life. However, due to the large volume of devices being connected, it is important to understand the existing and emerging threats and how to mitigate them.
The focus of Mathew's work lies mainly on outcome-based risk assessment. He studies how an organization's exposure and incident data can be used to estimate its security level, and to which extent this estimated security level is predictive of future breaches. Additionally, he's looking into how external enterprise data can be leveraged in order to develop accurate outcome-based cyber security risk metrics.
Rolf van Wegberg
Rolf studies how cybercriminals do business. Originally trained as a criminologist, he now takes a social-technical approach to unravel cybercriminal business models and reconstruct value chains combining measurements of cybercrime with criminological theory and an economic lens. Research topics include: (policing) cybercrime, digital fraud and online anonymous markets.
J. (Jordy) San Jose Sanchez
Jordy is a PhD researcher at TUD with a background in Operations Research, Military Technology and Warfare. His four-year doctoral research project started in 2019, with promotors Prof.dr. Michel van Eeten and Prof.dr.ing. Bram Klievink of Leiden University. Is a former Naval Officer and has completed a BSc in Military Systems and Technology at the Netherlands Defense Academy and a MSc in Econometrics and Operations Research at the Vrije Universiteit Amsterdam. Jordy studies how to use Machine Learning (ML) for use in detecting cyber-attacks. Large threat intelligence and other datasets can be analysed with ML and provide clues on possible attacks.
Boy is a PhD Researcher in the Cybersecurity group. In his PhD project he researches causal links between controls, security levels and incidents in order to develop outcome-based risk metrics. Boy did a Bsc. in Psychology & Neuroscience and a Msc. in Behavioral Economics. After his studies he worked in the army as an officer electronic warfare and advisor related to Cyber.