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Baraa I. Farhan

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2 papers indexed here

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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

Overall, the proposed framework addresses three critical research gaps: preserving data privacy without centralized data aggregation, handling non-IID data distributions in IoT networks, and enabling efficient computation for resource-limited devices.

Baraa I. Farhan · 0 citations

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