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Author

Baraa I. Farhan

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Open access Aug 2026

An Advanced System for Detecting Malware in the Internet of Things Using Artificial Intelligence and Blockchain

The Internet of Things (IoT) has witnessed significant and rapid expansion in various industrial and service sectors, causing increased security challenges related to malware detection and classification. Traditional models suffer from poor handling of temporal relationships and nonlinear patterns in data, which negati...

A. Hameed, Baraa I. Farhan · 0 citations
#federated learning Open access Sep 2026

EdgeSecure: A Heterogeneous Federated Learning Framework for Lightweight Malware Detection in Resource-Constrained IoT Networks

The rapid expansion of Internet of Things (IoT) devices has intensified security challenges, particularly malware attacks that continue to grow in sophistication while operating under strict resource constraints. Conventional centralized machine learning–based malware detection approaches face significant limitations i...

Baraa I. Farhan · 0 citations

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