| 2026 | WWW | Industrialized Deception: The Collateral Effects of LLM-Generated Misinformation on Digital Ecosystems. | Alexander Loth, Martin Kappes, Marc-Oliver Pahl |
| 2026 | WWW | The Verification Crisis: Expert Perceptions of GenAI Disinformation and the Case for Reproducible Provenance. | Alexander Loth, Martin Kappes, Marc-Oliver Pahl |
| 2026 | WWW | Eroding the Truth-Default: A Causal Analysis of Human Susceptibility to Foundation Model Hallucinations and Disinformation in the Wild. | Alexander Loth, Martin Kappes, Marc-Oliver Pahl |
| 2025 | DATE | Multi-Partner Project: CyberSecDome - Framework for Secure, Collaborative, and Privacy-Aware Incident Handling for Digital Infrastructure. | Mohammad Hamad, Michael Khr, Haralambos Mouratidis, Eleni-Maria Kalogeraki, Christos A. Gizelis, Dimitrios Papanikas, Athanasios Bountioukos-Spinaris, Charilaos Skandylas, Evangelos Raptis, Andreas Alexopoulos, Grigorios Chrysos, Mina Marmpena, Sevasti Politi, Konstantinos Lieros, Nikolaos Papagiannopoulos, Iordanis Xanthopoulos, Spyros Papastergiou, Sotiris Ioannidis, Mikael Asplund, Marc-Oliver Pahl, Sebastian Steinhorst |
| 2025 | ESORICS | Revealing Embedded System Behaviors: A Comparative Analysis of Power Consumption and Hardware Performance Counters. | Mohammed Mezaouli, Yehya Nasser, Samir Saoudi, Marc-Oliver Pahl |
| 2024 | NOMS | Similarity-Based Selective Federated Learning for Distributed Device-Specific Anomaly Detection. | Christian Lbben, Marc-Oliver Pahl |
| 2024 | NOMS | Shells Bells: Cyber-Physical Anomaly Detection in Data Centers. | Lars Wstrich, Sebastian Gallenmller, Stephan M. Gnther, Georg Carle, Marc-Oliver Pahl |
| 2024 | SRDS | RADAR: Model Quality Assessment for Reputation-aware Collaborative Federated Learning. | Lo Lavaur, Pierre-Marie Lechevalier, Yann Busnel, Romaric Ludinard, Marc-Oliver Pahl, Graldine Texier |
| 2023 | NOMS | Distributed Device-Specific Anomaly Detection using Deep Feed-Forward Neural Networks. | Christian Lbben, Marc-Oliver Pahl |
| 2023 | NOMS | Distributed Device-Specific Anomaly Detection for Resource-Constrained Devices. | Christian Lbben, Marc-Oliver Pahl |
| 2023 | NOMS | Performance Comparison of UDP and TCP for Different CoAP Load Profiles. | David Pop, Erkin Kirdan, Marc-Oliver Pahl |
| 2023 | SIGCOMM | Network Profiles for Detecting Application-Characteristic Behavior Using Linux eBPF. | Lars Wstrich, Markus Schacherbauer, Markus Budeus, Dominik Freiherr von Knberg, Sebastian Gallenmller, Marc-Oliver Pahl, Georg Carle |
| 2022 | NOMS | Resource tradeoffs for TLS-secured MQTT-based IoT Management. | Valentin Dimov, Erkin Kirdan, Marc-Oliver Pahl |
| 2022 | NOMS | Autonomous convergence mechanisms for collaborative crowd-sourced data-modeling. | Christian Lbben, Marc-Oliver Pahl |
| 2022 | NOMS | Continuous Microservice Re-Placement in the IoT. | Christian Lbben, Simon Schffner, Marc-Oliver Pahl |
| 2022 | NOMS | Optimal Access Control Deployment in Network Function Virtualization. | Manel Smine, David Espes, Marc-Oliver Pahl |
| 2022 | NOMS | AC/DCIM: Acoustic Channels for Data Center Infrastructure Monitoring. | Lars Wstrich, Sebastian Gallenmller, Marc-Oliver Pahl, Georg Carle |
| 2021 | IM | Pipeline for Crowdsourced IoT Data-Modeling with AI-Supported Convergence. | Marc-Oliver Pahl, Florian Bauer, Christian Lbben |
| 2021 | IM | Cyber-Physical Anomaly Detection for ICS. | Lars Wstrich, Lukas Schrder, Marc-Oliver Pahl |
| 2020 | CNSM | Ensuring Consistency for Asynchronous Group-Key Management in the Industrial IoT. | Alessandro Piccoli, Marc-Oliver Pahl, Steffen Fries, Tolga Sel |
| 2020 | ETFA | Open-Source OPC UA Security and Scalability. | Nikolas Mhlbauer, Erkin Kirdan, Marc-Oliver Pahl, Georg Carle |
| 2020 | GI | Feature-based Comparison of Open Source OPC-UA Implementations. | Nikolas Mhlbauer, Erkin Kirdan, Marc-Oliver Pahl, Karl Waedt |
| 2020 | ISCC | Using Deep Learning to Replace Domain Knowledge. | Christian Lbben, Marc-Oliver Pahl, Mohammad Irfan Khan |
| 2020 | ISCC | Group Key Management in constrained IoT Settings. | Alessandro Piccoli, Marc-Oliver Pahl, Lars Wstrich |
| 2020 | ISCC | Towards an Extensible IoT Security Taxonomy. | Lars Wstrich, Marc-Oliver Pahl, Stefan Liebald |
| 2019 | IM | Multi-Tenant IoT Service Management towards an IoT App Economy. | Marc-Oliver Pahl |
| 2019 | IM | Giving IoT Services an Identity and Changeable Attributes. | Marc-Oliver Pahl, Lorenzo Donini |
| 2019 | IM | A Modular Distributed IoT Service Discovery. | Marc-Oliver Pahl, Stefan Liebald |
| 2019 | IM | Machine-Learning based IoT Data Caching. | Marc-Oliver Pahl, Stefan Liebald, Lars Wstrich |
| 2019 | IPIN | A Generalized TDoA/ToA Model for ToF Positioning. | Maximilian von Tschirschnitz, Marcel Wagner, Marc-Oliver Pahl, Georg Carle |
| 2019 | IPIN | Clock Error Analysis of Common Time of Flight based Positioning Methods. | Maximilian von Tschirschnitz, Marcel Wagner, Marc-Oliver Pahl, Georg Carle |
| 2018 | CNSM | All Eyes on You: Distributed Multi-Dimensional IoT Microservice Anomaly Detection. | Marc-Oliver Pahl, Francois-Xavier Aubet |
| 2018 | NOMS | Graph-based IoT microservice security. | Marc-Oliver Pahl, Francois-Xavier Aubet, Stefan Liebald |
| 2018 | NOMS | Securing IoT microservices with certificates. | Marc-Oliver Pahl, Lorenzo Donini |
| 2018 | NOMS | Machine learning as a reusable microservice. | Marc-Oliver Pahl, Markus Loipfinger |
| 2016 | NOMS | Distributed smart space orchestration. | Marc-Oliver Pahl, Georg Carle, Gudrun Klinker |
| 2015 | IM | Data-centric service-oriented management of things. | Marc-Oliver Pahl |
| 2014 | NOMS | Crowdsourced context-modeling as key to future smart spaces. | Marc-Oliver Pahl, Georg Carle |
| 2013 | PERCOM | The missing layer - Virtualizing smart spaces. | Marc-Oliver Pahl, Georg Carle |