Author

Mustafa S. Aljumaily

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#machine learning Preprint Oct 2026

PVBRF-ID: Private, Verifiable and Byzantine-Robust Federated Intrusion Detection for Oilfield Enterprise Networks

Federated learning allows dispersed oilfield sites to train a shared intrusion detector without pooling network traffic, yet its aggregation step forces a choice between privacy and robustness. Byzantine-robust rules must read each update in the clear, whereas secure aggregation hides updates from the checks that detec...

Mustafa S. Aljumaily, Ali A. Allami, Mustafa N. Mnati et al. · 0 citations

#artificial intelligence Review Sep 2026

Toward Responsible AI-Augmented Cyber Defense: Pattern Recognition, Defense-in-Depth, and the Case for Human-AI Collaboration

These results give the widely repeated qualitative recommendation of "balanced human-AI collaboration" a precise, testable form and suggest an interior-optimum capacity ratio as a concrete design target for security operations centers (SOCs), including those securing IT/OT-converged critical infrastructure.

Mustafa S. Aljumaily, Hayder Kareem Abed, Nawar S. Alseelawi · 0 citations