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Maarten van Steen is a Professor active in the fields of Distributed Systems, Artificial Intelligence, and Cybersecurity. With an h-index of 35 and over 5,400 citations, his work focuses on Edge AI, Privacy Preservation, and WiFi-Based Sensing. His research emphasizes non-intrusive authentication, anonymization techniques, and crowd monitoring without compromising individual privacy.
- Key research areas: Distributed Systems, Privacy Preservation, WiFi Security
- Recent projects: RoomKey, LocKey, FlowPrint
- Crowd-monitoring applications: Subway travelers, pedestrian dynamics
Van Steen's work combines Machine Learning with Homomorphic Encryption to develop privacy-first solutions. He has contributed to mobile app fingerprinting, WiFi authentication, and blockchain scalability challenges.
His 2024–2025 publications reveal trends in contextual security, crowd behavior analysis, and automated threat intelligence. Notable methods include Bloom Filters, automata learning, and WiFi beacon frame analysis.
- Dutch Cyber Security Best Research Paper Award 2024 Runner-up (shared prize)
Van Steen supervises research teams and collaborates on datasets like Code for Threat Intelligence Processing and DeepCASE. His work spans 20+ years, with 208 total research outputs and significant contributions to decentralized systems, network traffic analysis, and urban mobility.
