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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

Mahdi Ajdani

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Open access Oct 2026

Communication-Aware Self-Supervised Intrusion Detection for Edge-Based Industrial IoT Networks Under Concept Drift

Edge-based Industrial Internet of Things (IIoT) networks require security mechanisms that can operate continuously under tight latency constraints while adapting to evolving communication patterns. In practice, many existing intrusion detection systems (IDS) either rely on labeled attack data, assume relatively stable...

Mahdi Ajdani, Asif Ali Aghari · 0 citations
Sep 2026

SA-IDS: a self-supervised and adaptive intrusion detection system for edge-based IIoT security with label-free drift resilience

SA-IDS is proposed, a self-supervised and adaptive intrusion detection framework designed for resource-constrained IIoT edge devices that leverages contrastive self-supervised learning to learn robust representations of benign telemetry data without requiring labeled attacks.

Mahdi Ajdani, Maziar Asmani · 0 citations
Aug 2026

Federated Anomaly Detection for IoMT Networks: Privacy‐Preserving Design, Lightweight Implementation, and Runtime Evaluation

The rapid integration of Internet of Things (IoT) in the healthcare domain has led to the emergence of the Internet of Medical Things (IoMT), which introduces significant benefits in patient monitoring and real‐time medical services. However, IoMT networks are inherently vulnerable due to resource constraints, heteroge...

Mahdi Ajdani, M. Asmani, A. A. Laghari · 0 citations

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