Author

Najem N. Sirhan

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Open access Oct 2026

The Aggregate–Worst-Class Trade-Off in Feature Selection for IoT Intrusion Detection: A Multi-Objective Study on TON_IoT

Machine-learning intrusion detection on multi-attack Internet-of-Things (IoT) datasets is often reported through aggregate metrics that can hide near-failure on rare attack classes, and through single hand-picked feature subsets whose stability is seldom examined. Using the real TON_IoT Network dataset (211,043 flows,...

Najem N. Sirhan, Sami Serhan, Tariq Khraishi · Computation · 0 citations

Open access Jul 2026

A Blockchain and Federated Learning Framework for Image-Based IoT Malware Detection and Prevention

Mal-Fedchain is presented, a secure and privacy-preserving framework for image-based IoT malware detection and prevention that couples federated learning with blockchain and honeypot-assisted behavioral monitoring, targeting Linux-capable IoT gateway devices.

Najem N. Sirhan, Riyad Alrousan, H. Fakhouri · IoT · 0 citations