Security & Privacy Engineering

Motivation: The digitalization of society and industry is largely software-defined, which shows the pivotal role of algorithms in order to guarantee security & privacy.

Research focus (technical): The design and analysis of

1. Secure & Private Algorithms: Algorithms that, next to their functional requirements, additionally fulfill specific security and/or privacy requirements. This involves security & privacy attacker modelling and proving that algorithms satisfy these models.
2. Algorithms for Security & Privacy: Algorithms that are used to increase the security and/or privacy levels in application-specific contexts. This involves research on scalability and efficiency of algorithms as well as experimentation-based evaluation.

Approach: Scientific Engineering (from real-world problem -> fundamental research challence -> scientific solution -> real-world deployment)

Application domain: Current and Future Critical Infrastructures; mostly: financial, health, cyber/internet, smart cities, and Blockchain

Projects regarding my research focus "Secure & Private Algorithms":

• OBRE: Optimal Biometric Recognition under Encryption; joint project with Raymond Veldhuis (UT)
• PensionChain: Blockchain Applications for Pensions; joint project with Marc Francke (UvA)
• SPA: Seamless Personal Authentication; joint project with Jaco van de Pol (UT)
• PriFi: Privacy-Preserving WiFi Tracking for Crowd Management; joint project with Maarten van Steen (UT)
• CRIPTIM: CRitical Infrastructure Protection Through cryptographic Incident Management
• (finished) THeCS: Trusted Healthcare Services

Projects regarding my research focus "Algorithms for Security & Privacy":

• BASS: Building Automation Systems Security and Privacy
• EVIDENCE: EVolutionary Intrusion DEtectioN for dynamiC Environments; joint project with Maarten van Steen (UT)
• (finished) #BREACHED: Determining and Reducing the Impact of Data Breaches