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Enhanced IoT malware detection via robust and scalable federated learning

Saba Nayab Sana Qadir Madiha Khalid Rabia Irfan
Sep 2026 · Journal of Computer Virology and Hacking Techniques · Vol 22 · 0 citations · 72 references
Advanced Malware Detection Techniques

TL;DR

A decentralised federated learning (FL)-based IoT malware detection framework, evaluated using the recent IoT-23 dataset and systematically assessed in terms of robustness and scalability, highlighting the feasibility of robust and scalable FL-based security systems in real-world IoT deployments.

DOI Semantic Scholar
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