Cybersecurity · Distributed Systems · Network & Service Management · Trustworthy AI · Critical Infrastructures · Human-Centred Security

Google Scholar profile: Marc-Oliver Pahl

Google Scholar (September 2026): 1,577 citations · h-index 18 · i10-index 44 · 70+ peer-reviewed publications.

Publication types: J journal · B peer-reviewed book chapter · C full conference · S short/demo/doctoral symposium · W workshop/companion · R research software · D dataset · P preprint · M monograph · O professional/strategic publication · UR under review · MR major revision invited.

Selected Publications Defining the Research Trajectory

Eight representative published contributions selected to show the progression of the scientific trajectory.

1. Contextual and semantic foundations

[C] 2014 Marc-Oliver Pahl; Georg Carle. Crowdsourced Context-Modeling as Key to Future Smart Spaces. IEEE/IFIP NOMS 2014.

2. Distributed security observability

[C] 2018 Marc-Oliver Pahl; François-Xavier Aubet. All Eyes on You: Distributed Multi-Dimensional IoT Microservice Anomaly Detection. IEEE/IFIP CNSM 2018, 72–80.

3. Collaborative and distributed cyber defence

[J] 2022 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 19(3), 2309–2332.

4. Cyber-physical observability

[J] 2023 Raphaël M. J. I. Larsen; Marc-Oliver Pahl; Gouenou Coatrieux. Multipath Neural Networks for Anomaly Detection in Cyber-Physical Systems. Annals of Telecommunications 78(3), 149–167.

5. Trustworthy distributed AI

[C] 2024 Léo Lavaur; Pierre-Marie Lechevalier; Yann Busnel; Fabien Autrel; Marc-Oliver Pahl. RADAR: Model Quality Assessment for Reputation-aware Collaborative Federated Learning. IEEE SRDS 2024.

6. Physical infrastructure as a security sensor

[C] 2024 Lars Wüstrich; Sebastian Gallenmüller; Stephan M. Günther; Georg Carle; Marc-Oliver Pahl. Shells Bells: Cyber-Physical Anomaly Detection in Data Centers. IEEE/IFIP NOMS 2024, 1–10.

7. Embedded and physical observability

[C] 2026 Mohammed Mezaouli; Yehya Nasser; Samir Saoudi; Marc-Oliver Pahl. Real-Time AI-Based Power-Assisted Vulnerability Detection. IEEE/IFIP NOMS 2026. DOI 10.1109/NOMS69089.2026.11668358.

8. Emerging frontier: information resilience

[J] 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 7(4), 2026. DOI 10.37016/mr-2020-205.

Current Manuscripts Extending the Security Research Programme

These manuscripts are listed separately from the peer-reviewed publication record. Editorial status is stated explicitly.

[UR] 2026 Mohammed Mezaouli; Yehya Nasser; Samir Saoudi; Marc-Oliver Pahl. Raw-Power-Based Recognition of Security-Relevant Function Execution in Bare-Metal Embedded Systems. Submitted to Journal of Hardware and Systems Security.

[MR] 2026 Mathis Durand; Yvon Kermarrec; Marc-Oliver Pahl. Surveying Cyber-Physical Honeynets: Realism, Attractiveness, and Emerging Applications. Major revision invited, Journal of Information Security and Applications (JISAS-D-26-03625R1).

[MR] 2026 Mathis Durand; Yvon Kermarrec; Marc-Oliver Pahl. From Evasion to Resilience: Mapping Anti-Honeypot Strategies and Their Mitigation. Major revision invited, Computers & Security (COSE-D-26-04157).

[UR] 2026 Hugo Bourreau; Enzo Hoummady; Kevin Bouchard; Fabien Dagnat; Fehmi Jaafar; Marc-Oliver Pahl. Digital Twins as Security Oracles: Adversarial State Deception Against Physics-Based Sensor Authentication. Submitted to IEEE Transactions on Dependable and Secure Computing (Manuscript TDSC-2026-09-3965).

Peer-Reviewed Publications by Research Domain

1. Distributed and AI-Enabled Cyber Defence

[W] 2026 Mohammed Mezaouli; Yehya Nasser; Samir Saoudi; Marc-Oliver Pahl. Closing the Loop in Embedded Security: Evolution of an AIOps Framework for Threat Hunting. AIMLOps, co-located with IEEE/IFIP NOMS 2026.

[C] 2026 Mohammed Mezaouli; Yehya Nasser; Samir Saoudi; Marc-Oliver Pahl. Real-Time Instruction-Level Anomaly Detection for Embedded Applications Using AI. IEEE/IFIP NOMS 2026. DOI 10.1109/NOMS69089.2026.11668267.

[C] 2026 Christian Lübben; Marc-Oliver Pahl. Gateway-X: LLM-Based Autonomous Adaptive Semantic and Syntactic Protocol Translation. IEEE/IFIP NOMS 2026.

[J] 2025 Christian Lübben; Marc-Oliver Pahl. Decentralized Anomaly Detection Using Deep Feed-Forward Neural Networks. International Journal of Network Management 35(6), e70032.

[C] 2024 Léo Lavaur; Pierre-Marie Lechevalier; Yann Busnel; Fabien Autrel; Marc-Oliver Pahl. RADAR: Model Quality Assessment for Reputation-aware Collaborative Federated Learning. IEEE SRDS 2024.

[C] 2024 Christian Lübben; Marc-Oliver Pahl. Similarity-Based Selective Federated Learning for Distributed Device-Specific Anomaly Detection. IEEE/IFIP NOMS 2024.

[C] 2023 Christian Lübben; Marc-Oliver Pahl. Distributed Device-Specific Anomaly Detection using Deep Feed-Forward Neural Networks. IEEE/IFIP NOMS 2023.

[S] 2023 Christian Lübben; Marc-Oliver Pahl. Distributed Device-Specific Anomaly Detection for Resource-Constrained Devices. IEEE/IFIP NOMS 2023, Best Demo Award.

[C] 2022 Léo Lavaur; Benjamin Coste; Marc-Oliver Pahl; Yann Busnel; Fabien Autrel. Federated Learning as Enabler for Collaborative Security between not Fully-Trusting Distributed Parties. C&ESAR 2022, 65-80.

[C] 2021 Christian Lübben; Marc-Oliver Pahl. Advances in ML-Based Anomaly Detection for the IoT. CSNet 2021, 18-22.

[C] 2021 Raphaël M. J. I. Larsen; Marc-Oliver Pahl; Gouenou Coatrieux. Authenticating IDS Autoencoders Using Multipath Neural Networks. CSNet 2021, 1-9.

[C] 2020 Christian Lübben; Marc-Oliver Pahl; Mohammad Irfan Khan. Using Deep Learning to Replace Domain Knowledge. IEEE ISCC 2020.

[C] 2018 Marc-Oliver Pahl; François-Xavier Aubet. All Eyes on You: Distributed Multi-Dimensional IoT Microservice Anomaly Detection. CNSM 2018, 72-80.

[C] 2018 Marc-Oliver Pahl; François-Xavier Aubet; Stefan Liebald. Graph-Based IoT Microservice Security. IEEE/IFIP NOMS 2018.

[C] 2018 François-Xavier Aubet; Marc-Oliver Pahl; Stefan Liebald; Mohammad Reza Norouzian. Graph-based Anomaly Detection for IoT Microservices. PAM 2018.

[C] 2018 Marc-Oliver Pahl; Lorenzo Donini. Securing IoT Microservices with Certificates. IEEE/IFIP NOMS 2018.

[C] 2018 Marc-Oliver Pahl; Markus Loipfinger. Machine Learning as a Reusable Microservice. IEEE/IFIP NOMS 2018.

2. Critical-Infrastructure, Cyber-Physical & Embedded Security

[C] 2026 Mohammed Mezaouli; Yehya Nasser; Samir Saoudi; Marc-Oliver Pahl. Real-Time AI-Based Power-Assisted Vulnerability Detection. IEEE/IFIP NOMS 2026. DOI 10.1109/NOMS69089.2026.11668358.

[S] 2026 Mathis Durand; Yvon Kermarrec; Marc-Oliver Pahl. Evaluating the Realism of Cyber-Physical Honeynets Against Advanced Attackers. IEEE/IFIP NOMS 2026, Doctoral Symposium, 1–4.

[C] 2026 Mathis Durand; Yvon Kermarrec; Marc-Oliver Pahl. Deception Detected: An Empirical Study of SSH Honeypot Detection and Fingerprinting in a Capture-the-Flag Competition. IEEE/IFIP NOMS 2026, 1–7.

[W] 2025 Mohammed Mezaouli; Yehya Nasser; Samir Saoudi; Marc-Oliver Pahl. Revealing Embedded System Behaviors: A Comparative Analysis of Power Consumption and Hardware Performance Counters. HS3, ESORICS 2025 Workshops.

[C] 2025 Mohammad Hamad et al.; Marc-Oliver Pahl; Sebastian Steinhorst. Multi-Partner Project: CyberSecDome – Framework for Secure, Collaborative, and Privacy-Aware Incident Handling for Digital Infrastructure. DATE 2025.

[C] 2025 Mathis Durand; Alexandre Dey; Yvon Kermarrec; Marc-Oliver Pahl. Pouvez-Vous Détecter le Piège? Détection de Pots de Miel Face à l’Évolution des Tactiques d’Évasion. C&ESAR 2025.

[C] 2025 Hugo Bourreau; Fabien Dagnat; Marc-Oliver Pahl; Fehmi Jaafar. L’Apprentissage Machine au Sein des Jumeaux Numériques pour l’Estimation et la Détection des Menaces. C&ESAR 2025.

[J] 2024 Nisrine Ibadah; César Benavente-Peces; Marc-Oliver Pahl. Securing the Future of Railway Systems: A Comprehensive Cybersecurity Strategy for Critical On-Board and Track-Side Infrastructure. Sensors 24(24), 8218.

[C] 2024 Lars Wüstrich; Sebastian Gallenmüller; Stephan M. Günther; Georg Carle; Marc-Oliver Pahl. Shells Bells: Cyber-Physical Anomaly Detection in Data Centers. IEEE/IFIP NOMS 2024, 1-10.

[C] 2023 Awaleh Houssein Meraneh; Fabien Autrel; Hélène Le Bouder; Marc-Oliver Pahl. SADIS: Real-Time Sound-Based Anomaly Detection for Industrial Systems. FPS 2023, 82-92.

[W] 2023 Lars Wüstrich; Markus Schacherbauer; Markus Budeus; Dominik von Künßberg; Sebastian Gallenmüller; Marc-Oliver Pahl; Georg Carle. Network Profiles for Detecting Application-Characteristic Behavior Using Linux eBPF. eBPF@SIGCOMM 2023, 8-14.

[S] 2023 Erkin Kirdan; Patricia Horvath; Marc-Oliver Pahl. Work-in-Progress: Slow Denial of Service Attack on MQTT-Based IoT. IEEE BlackSeaCom 2023, 420–425. DOI 10.1109/BlackSeaCom58138.2023.10299779.

[J] 2023 Raphaël M. J. I. Larsen; Marc-Oliver Pahl; Gouenou Coatrieux. Multipath Neural Networks for Anomaly Detection in Cyber-Physical Systems. Annals of Telecommunications 78(3), 149-167.

[C] 2022 Lars Wüstrich; Sebastian Gallenmüller; Marc-Oliver Pahl; Georg Carle. AC/DCIM: Acoustic Channels for Data Center Infrastructure Monitoring. IEEE/IFIP NOMS 2022.

[C] 2022 Emil Suleymanov; Erkin Kirdan; Marc-Oliver Pahl. Securing CoAP with DTLS and OSCORE. 6th Cyber Security in Networking Conference (CSNet 2022), 1–7.

[C] 2022 Valentin Dimov; Erkin Kirdan; Marc-Oliver Pahl. Resource Tradeoffs for TLS-Secured MQTT-Based IoT Management. IEEE/IFIP NOMS 2022.

[C] 2022 Manel Smine; David Espes; Marc-Oliver Pahl. Optimal Access Control Deployment in Network Function Virtualization. IEEE/IFIP NOMS 2022.

[C] 2021 Lars Wüstrich; Lukas Schröder; Marc-Oliver Pahl. Cyber-Physical Anomaly Detection for ICS. IFIP/IEEE IM 2021.

[C] 2021 Manel Smine; David Espes; Nora Cuppens-Boulahia; Frédéric Cuppens; Marc-Oliver Pahl. A Priority-Based Domain Type Enforcement for Exception Management. Foundations and Practice of Security, LNCS, 65-81.

[C] 2021 Melvin Bender; Erkin Kirdan; Marc-Oliver Pahl; Georg Carle. Open-Source MQTT Evaluation. IEEE CCNC 2021.

[C] 2020 Lars Wüstrich; Marc-Oliver Pahl; Stefan Liebald. Towards an Extensible IoT Security Taxonomy. IEEE ISCC 2020.

[C] 2020 Alessandro Piccoli; Marc-Oliver Pahl; Lars Wüstrich. Group Key Management in Constrained IoT Settings. IEEE ISCC 2020.

[C] 2020 Nikolas Mühlbauer; Erkin Kirdan; Marc-Oliver Pahl; Georg Carle. Open-Source OPC UA Security and Scalability. IEEE ETFA 2020.

3. Distributed Systems, IoT & Network/Service Management

[C] 2023 David Pop; Erkin Kirdan; Marc-Oliver Pahl. Performance Comparison of UDP and TCP for Different CoAP Load Profiles. IEEE/IFIP NOMS 2023.

[C] 2022 Christian Lübben; Simon Schäffner; Marc-Oliver Pahl. Continuous Microservice Re-Placement in the IoT. IEEE/IFIP NOMS 2022.

[C] 2022 Christian Lübben; Marc-Oliver Pahl. Autonomous Convergence Mechanisms for Collaborative Crowd-Sourced Data-Modeling. IEEE/IFIP NOMS 2022.

[C] 2021 Marc-Oliver Pahl; Florian Bauer; Christian Lübben. Pipeline for Crowdsourced IoT Data-Modeling with AI-Supported Convergence. IFIP/IEEE IM 2021, 702-706.

[J] 2021 Satu Paiho et al.; Marc-Oliver Pahl et al.. Towards Cross-Commodity Energy-Sharing Communities – A Review of the Market, Regulatory, and Technical Situation. Renewable and Sustainable Energy Reviews 151, 111568.

[C] 2019 Irfan Khan; François-Xavier Aubet; Marc-Oliver Pahl; Jérôme Härri. Deep Learning-aided Resource Orchestration for Vehicular Safety Communication. Wireless Days 2019.

[C] 2019 Marc-Oliver Pahl; Lorenzo Donini. Giving IoT Edge Services an Identity and Changeable Attributes. IFIP/IEEE IM 2019.

[C] 2019 Marc-Oliver Pahl; Stefan Liebald. A Modular Distributed IoT Service Discovery. IFIP/IEEE IM 2019.

[W] 2019 Marc-Oliver Pahl; Stefan Liebald; Lars Wüstrich. Machine-learning based IoT Data Caching. HotNSM@IM 2019.

[C] 2019 Marc-Oliver Pahl. Multi-Tenant IoT Service Management towards an IoT App Economy. IFIP/IEEE IM 2019.

[C] 2019 Marc-Oliver Pahl; Stefan Liebald. Information-Centric IoT Middleware Overlay: VSL. NetSys 2019.

[S] 2019 Marc-Oliver Pahl; Stefan Liebald; Christian Lübben. VSL: A Data-Centric Internet of Things Overlay. NetSys 2019 Demo.

[C] 2016 Marc-Oliver Pahl; Georg Carle; Gudrun Klinker. Distributed Smart Space Orchestration. IEEE/IFIP NOMS 2016 – Dissertation Digest.

[C] 2015 Marc-Oliver Pahl. Data-Centric Service-Oriented Management of Things. IFIP/IEEE IM 2015.

[C] 2014 Marc-Oliver Pahl; Georg Carle. Crowdsourced Context-Modeling as Key to Future Smart Spaces. IEEE/IFIP NOMS 2014.

[C] 2013 Marc-Oliver Pahl; Heiko Niedermayer; Holger Kinkelin; Georg Carle. Enabling Sustainable Smart Neighborhoods. SustainIT 2013, 1-6.

[W] 2013 Marc-Oliver Pahl; Georg Carle. Taking Smart Space Users Into the Development Loop: An Architecture for Community Based Software Development for Smart Spaces. UbiComp 2013 Adjunct, 793-800.

[W] 2013 Marc-Oliver Pahl; Georg Carle. The Missing Layer – Virtualizing Smart Spaces. PerCom Workshops / MUCS 2013, 139-144.

[C] 2009 Marc-Oliver Pahl; Christoph Niedermeier; Mario Schuster; Andreas Müller; Georg Carle. Knowledge-Based Middleware for Future Home Networks. IEEE IFIP Wireless Days 2009.

[C] 2009 Heiko Niedermayer; Ralph Holz; Marc-Oliver Pahl; Georg Carle. On Using Home Networks and Cloud Computing for a Future Internet of Things. Future Internet Symposium 2009.

4. Human-Centred Security & Immersive Analytics

[B] 2026 S. Islam; S. Papastergiou; A. Duzha; K. Drakonakis; G. Chrysos; S. Ioannidis; et al.; Marc-Oliver Pahl. AI-Enhanced Security Tools with Virtual Reality for Ensuring Digital Resilience. Technology-Enabled Resilience: Innovations in Critical Infrastructure.

[J] 2023 Nicolas Delcombel; Thierry Duval; Marc-Oliver Pahl. Cybercopters Swarm: Immersive Analytics for Alerts Classification Based on Periodic Data. Frontiers in Virtual Reality 4.

[C] 2021 Fabian Kilger; Alexandre Kabil; Volker Tippmann; et al.; Marc-Oliver Pahl. Detecting and Preventing Faked Mixed Reality. IEEE MIPR 2021, 399–405. DOI 10.1109/MIPR51284.2021.00074.

[W] 2021 Alexandre Kabil; Thierry Duval; Marc-Oliver Pahl. Training and Data Analysis Use Cases for Cybersecurity through Mixed Reality Applications. VR4Sec 2021.

5. AI-Enabled Disinformation & Information Resilience

[W] 2026 Alexander Loth; Martin Kappes; Marc-Oliver Pahl. The Verification Crisis: Expert Perceptions of GenAI Disinformation and the Case for Reproducible Provenance. Companion Proceedings of The Web Conference 2026, 980-988.

[W] 2026 Alexander Loth; Martin Kappes; Marc-Oliver Pahl. Eroding the Truth-Default: A Causal Analysis of Human Susceptibility to Foundation Model Hallucinations and Disinformation in the Wild. Companion Proceedings of The Web Conference 2026, 1125-1132.

[W] 2026 Alexander Loth; Martin Kappes; Marc-Oliver Pahl. Industrialized Deception: The Collateral Effects of LLM-Generated Misinformation on Digital Ecosystems. Companion Proceedings of The Web Conference 2026, 295-302.

[W] 2026 Alexander Loth; Dominique Conceicao Rosario; Peter Ebinger; Martin Kappes; Marc-Oliver Pahl. Origin Lens: Reclaiming Trust on the AI-Mediated Web Through On-Device Image Provenance Verification. ACM Web Science 2026 Companion, 1-5.

[W] 2026 Alexander Loth; Martin Kappes; Marc-Oliver Pahl. Can Humans Tell? A Dual-Axis Study of Human Perception of LLM-Generated News. ACM Web Science 2026 Companion, 34-39.

6. Educational Research & Digital Learning

[C] 2025 Mohammad Hamad; Andreas Finkenzeller; Monowar Hasan; Marc-Oliver Pahl; Sebastian Steinhorst. A Gamified Learning Approach for IoT Security Education Using Capture-the-Flag Competitions: Architecture and Insights. Secure IT Systems, 2025.

[W] 2020 Marc-Oliver Pahl. iLab@Home: Hands-On Networking Classes without Lab Access. SIGCOMM 2020 Education.

[J] 2019 Marc-Oliver Pahl. Learning by Teaching: Professional Skills and New Technologies for University Education. IEEE Communications Magazine 57(11), 74-80.

[J] 2017 Marc-Oliver Pahl. The iLab Concept: Making Teaching Better, at Scale. IEEE Communications Magazine 55(11), 178-185.

Research Software and Datasets

[R] 2026 Alexander Loth; Martin Kappes; Marc-Oliver Pahl. RogueGPT: A Controlled Stimulus Generation Framework for News Authenticity Research. Journal of Open Source Software 11(125), 11219.

[D] 2026 Alexander Loth; Martin Kappes; Marc-Oliver Pahl. CRED-1: An Open Multi-Signal Domain Credibility Dataset for Automated Pre-Bunking of Online Misinformation. arXiv:2604.20856.

Preprints

[P] 2026 Alexander Loth; Martin Kappes; Marc-Oliver Pahl. Interrupting the Chain: Human Perception of AI-Generated Disinformation Through a Kill Chain Lens. arXiv:2608.21389.

[P] 2026 Alexander Loth; Dominique Conceicao Rosario; Peter Ebinger; Martin Kappes; Marc-Oliver Pahl. Origin Lens: A Privacy-First Mobile Framework for Cryptographic Image Provenance and AI Detection. arXiv:2602.03423.

[P] 2024 Alexander Loth; Martin Kappes; Marc-Oliver Pahl. Blessing or Curse? A Survey on the Impact of Generative AI on Fake News. CoRR / arXiv:2404.03021.

[P] 2024 Loïc Miller; Marc-Oliver Pahl. Collaborative Cybersecurity Using Blockchain: A Survey. CoRR / arXiv:2403.04410.

[P] 2019 Maximilian von Tschirschnitz; Marcel Wagner; Marc-Oliver Pahl; Georg Carle. A Generalized TDoA/ToA Model for ToF Positioning. CoRR abs/1909.09405.

[P] 2019 Maximilian von Tschirschnitz; Marcel Wagner; Marc-Oliver Pahl; Georg Carle. Clock Error Analysis of Common Time of Flight based Positioning Methods. CoRR abs/1909.09398.

Monographs

[M] 2025 Marc-Oliver Pahl. Secure Distributed Microservice Architectures. Habilitation monograph, TUM.

[M] 2014 Marc-Oliver Pahl. Distributed Smart Space Orchestration. PhD thesis, TUM.

Selected White Papers and Professional Publications

[O] 2025 Marc-Oliver Pahl. The Influence of AI on Cybersecurity: Challenges and Opportunities from a Research Point of View. In: IA de confiance dans la défense. Pôle d’excellence cyber, 2025.

[O] 2025 Marc-Oliver Pahl. Game Over. .inf – Das Informatik-Magazin. Gesellschaft für Informatik, 2025.

[O] 2024 Marc-Oliver Pahl et al. Le rôle central de l’IA générative pour les Fake News – Une perspective de recherche. In: Lutte contre les manipulations de l’information: Regards croisés de spécialistes et d’acteurs du domaine, Tome 2. Ministère des Armées et des Anciens Combattants, November 2024.

[O] 2023 Marc-Oliver Pahl et al. Usurpation d’identité par le biais des Deep Fakes dans le Metaverse. In: Lutte contre les manipulations de l’information: Regards croisés de spécialistes et d’acteurs du domaine. May 2023.