Mamdouh Muhammad
Mamdouh Muhammad, M. Sc.
Kurzvita
Muhammad Mamdouh arbeitet derzeit als wissenschaftlicher Mitarbeiter am Lehrstuhl für Rechnernetze und Kommunikationssysteme. Seinen Masterabschluss erwarb er an der Technischen Universität Ilmenau in Thüringen, Deutschland. Seine aktuelle Promotion beschäftigt sich mit der Anwendung von Künstlicher Intelligenz im Bereich der Cybersicherheit.
Weitere Informationen
2026
HyLLM-IDS: A Conceptual Hybrid LLM-Assisted Intrusion Detection Framework for Cyber-Physical Systems
Co-Design of Communication, Computing and Control in Cyber-Physical Systems, CoC3CPS 2025, 20th Workshop on Dependable Smart Embedded and Cyber-Physical Systems and Systems-of-Systems, DECSoS 2025, 12th International Workshop on Next Generation of System Assurance Approaches for Critical Systems, SASSUR 2025, 4th International Workshop on Safety and Security Interaction, SENSEI 2025, 2nd International Workshop on Safety/Reliability/Trustworthiness of Intelligent Transportation Systems, SRToITS 2025 and 8th International Workshop on Artificial Intelligence Safety Engineering, WAISE 2025 held in conjunction with the 44th International Conference on Computer Safety, Reliability, and Security, SAFECOMP 2025 (Stockholm, SWE, 2025-09-09 - 2025-09-09)
In: Martin Törngren, Barbara Gallina, Erwin Schoitsch, Elena Troubitsyna, Friedemann Bitsch (Hrsg.): Lecture Notes in Computer Science 2026
DOI: 10.1007/978-3-032-02018-5_10
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2024
Cybersecurity strategies for smart grids: Leveraging agile IoT and IIoT integration
IGI Global, 2024
ISBN: 9798369334522
DOI: 10.4018/979-8-3693-3451-5.ch013
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Survey of Cybersecurity in Smart Grids Protocols and Datasets
19th International Conference on Future Networks and Communications, FNC 2024 / 21st International Conference on Mobile Systems and Pervasive Computing, MobiSPC 2024 / 14th International Conference on Sustainable Energy Information Technology, SEIT 2024 (Huntington, WV, 2024-08-05 - 2024-08-07)
In: Elhadi E. Shakshuki (Hrsg.): Procedia Computer Science 2024
DOI: 10.1016/j.procs.2024.08.049
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2023
An IDS for DDoS Attacks in SDN using VGG-Based CNN Architecture
The 31st International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2023) (Split, Croatia, 2023-09-21 - 2023-09-23)
DOI: 10.23919/SoftCOM58365.2023.10271630
URL: https://ieeexplore.ieee.org/document/10271630
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