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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Faizan Qamar

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Conference Aug 2026

Flow Meets Graph: A Dynamic Fusion Relational Graph Convolutional Network for IoMT Intrusion Detection

The rapid popularity of the Internet of Medical Things (IoMT) has introduced a "topology blind spot" in traditional Network Intrusion Detection Systems (NIDS), meaning they cannot distinguish attacks with similar statistical traffic configurations and completely different network topologies. To address this issue, this...

Gao-Yang Guo, Faizan Qamar, Han-Li Chen et al. · 0 citations
Open access 2026

Edge- Federated Graph Anomaly Detection With Self-Supervised Representation Learning for IoT Networks

This paper presents an Edge Federated Graph Anomaly Detection (E-FGAD) framework for IoT environments that combines centralized self-supervised pre-training with distributed supervised learning over edge embeddings that outperforms centralized and federated baselines in detecting attacks while preserving privacy.

Nuha A. Hamad, Khairul Azmi Abu Bakar, Faizan Qamar et al. · 0 citations

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