CSNet 2025: Research Presentation on AI-Based Anomaly Detection in IoT Networks

Dr.-Ing. Loui Al Sardy on the 9th Cyber Security in Networking Conference (CSNet 2025) in Abu Dhabi
Dr.-Ing. Loui Al Sardy on the 9th Cyber Security in Networking Conference (CSNet 2025) in Abu Dhabi

From October 20-22, 2025, Dr.-Ing. Loui Al Sardy from the Chair of Computer Science 7 (Computer Networks and Communication Systems) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) participated in the 9th Cyber Security in Networking Conference (CSNet 2025), held in Abu Dhabi, UAE.

As part of the session on AI for Cybersecurity, Dr. Al Sardy presented the research paper titled: AI-Based Anomaly Detection for Enhanced Cybersecurity in IoT Networks.

The work introduces a machine learning-based anomaly detection framework tailored to the unique constraints of IoT environments, addressing the need for lightweight and adaptive security mechanisms in resource-constrained cyber-physical systems.

The overarching theme of CSNet 2025, GenAI and Cybersecurity focused on the dual role of artificial intelligence in securing digital systems and managing the security of AI technologies themselves. The event brought together international researchers and professionals to discuss state-of-the-art approaches, challenges, and collaborative opportunities at the interface of AI, cybersecurity, and infrastructure protection.

The conference provided an excellent opportunity to engage with experts, explore interdisciplinary perspectives, and initiate discussions on potential future collaborations in the field of AI-assisted network security and secure IoT systems.

We thank the CSNet 2025 Organizing Committee for their invitation and the successful organization of this important event.