Marc-Oliver Pahl; Georg Carle. “Crowdsourced Context-Modeling as Key to Future Smart Spaces.” IEEE/IFIP NOMS, 2014.
Marc-Oliver Pahl; François-Xavier Aubet. “All Eyes on You: Distributed Multi-Dimensional IoT Microservice Anomaly Detection.” CNSM, 2018.
Léo Lavaur; Marc-Oliver Pahl; Yann Busnel; Fabien Autrel. “The Evolution of Federated Learning-Based Intrusion Detection and Mitigation: A Survey.” IEEE Transactions on Network and Service Management, 2022.
Raphaël M. J. I. Larsen; Marc-Oliver Pahl; Gouenou Coatrieux. “Multipath Neural Networks for Anomaly Detection in Cyber-Physical Systems.” Annals of Telecommunications, 2023.
Léo Lavaur et al. “RADAR: Model Quality Assessment for Reputation-aware Collaborative Federated Learning.” IEEE SRDS, 2024.
Lars Wüstrich et al. “Shells Bells: Cyber-Physical Anomaly Detection in Data Centers.” IEEE/IFIP NOMS, 2024.
Mohammed Mezaouli et al. “Real-Time AI-Based Power-Assisted Vulnerability Detection.” IEEE/IFIP NOMS, 2026.
Alexander Loth; Martin Kappes; Marc-Oliver Pahl. “Experts Disagree on How to Fight AI Disinformation, but Agree that Health and Politics Need Different Solutions.” Harvard Kennedy School Misinformation Review, 2026.
Website implementation: link this section directly to DBLP, Google Scholar, ORCID, and the complete classified publication list. Keep submitted manuscripts, preprints, software, datasets, workshop papers, and peer-reviewed full papers visibly distinguished.