Anomaly Detection
Detecting abnormal behavior in networked energy systems using data-driven, model-aware, and explainable approaches.
PhD Student & Research Assistant
Cybersecurity for Critical Infrastructure
I research resilient cyber-physical systems, anomaly detection, and the secure operation of modern energy infrastructures.
- Smart Grids
- Anomaly Detection
- Critical Infrastructure
About
Research at the intersection of cybersecurity and energy systems.
I'm a PhD student and research assistant focused on protecting smart grids and cyber-physical systems. My work combines security engineering, data-driven anomaly detection, and resilient system design for infrastructures where reliability matters.
I use this space to collect my research interests, publications, projects, teaching activities, and contact links in one clear academic profile.
PhD
Cybersecurity Research
CPS
Cyber-Physical Systems
SG
Smart Grid Security
Research Interests
Security methods for data-rich, safety-critical infrastructure.
Cyber-Physical Resilience
Understanding how attacks propagate across computation, communication, and physical grid processes.
Critical Infrastructure Security
Designing practical safeguards for dependable operation, monitoring, and incident response in essential services.
Cybersecurity for Smart Grids
Securing the digital layer of modern power systems.
Threat Modeling
Mapping adversarial paths across sensors, controllers, protocols, and operational workflows.
Operational Monitoring
Building signals that help distinguish faults, disturbances, and malicious activity.
Resilient Design
Supporting architectures that continue to operate safely under uncertainty and attack.
Selected Projects
Research directions I am developing across smart-grid and CPS security.
Secure Smart-Grid Monitoring
I work on monitoring, attack detection, and situational awareness for smart-grid environments where cyber events can affect physical operation.
Data-Driven Anomaly Detection
I study methods that identify suspicious behavior in high-dimensional operational data while keeping the results interpretable for defenders.
Cyber-Physical Testbeds
I use experimental environments to evaluate attacks, defenses, and operational response in cyber-physical systems.
Publications
My peer-reviewed work in AI-assisted security, smart grids, and cyber-physical systems.
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2025
HyLLM-IDS: A Conceptual Hybrid LLM-Assisted Intrusion Detection Framework for Cyber-Physical Systems
International Conference on Computer Safety, Reliability, and Security (SAFECOMP 2025), Stockholm, Sweden
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2025
AI-driven Anomaly Detection with ICS Protocols in Smart Grids
2025 IFIP Networking Conference (IFIP Networking 2025), Limassol, Cyprus, May 26-29, 2025
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2025
AI-Based Anomaly Detection for Enhanced Cybersecurity in IoT Networks
2025 9th Cyber Security in Networking Conference (CSNet 2025)
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2024
Survey of Cybersecurity in Smart Grids Protocols and Datasets
Procedia Computer Science; 14th International Conference on Sustainable Energy Information Technology
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2024
Cybersecurity Strategies for Smart Grids: Leveraging Agile IoT and IIoT Integration
Smart and Agile Cybersecurity for IoT and IIoT Environments, IGI Global
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2023
An IDS for DDoS Attacks in SDN using VGG-Based CNN Architecture
2023 International Conference on Software, Telecommunications and Computer Networks (SoftCOM '23), Split, Croatia
Teaching
Courses and exercises I support at CS7.
Winter Semester 2025/26
- Communication Systems Exercises (ÜKS)
- Seminar Kommunikationssysteme (Cybersecurity in Smart Grids)
Summer Semester 2025
- Rechnerkommunikation Übungen (ÜRK)
Winter Semester 2024/25
- Übungen zu Kommunikationssysteme (ÜKS)
Summer Semester 2024
- Rechnerkommunikation Übungen (ÜRK)
Winter Semester 2023/24
- Übungen zu Kommunikationssysteme (ÜKS)
Summer Semester 2023
- Rechnerkommunikation Übungen (ÜRK)
Reference: my CS7 chair profile
Contact
I am open to research exchange and academic collaboration.
Connect with me through institutional email or my academic profiles for cybersecurity, smart-grid security, anomaly detection, and critical infrastructure research exchange.
Institutional email
mamdouh.muhammad@fau.de