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Author

Asmah Muallem

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#machine learning Preprint Sep 2026

BRFID: Toward Byzantine-Robust Federated Intrusion Detection

The signal of the adversarial self-compromise represents a detectable anomaly for exploitation for Byzantine client identification in the absence of target data exfiltration and is measured under ensemble aggregation under ensemble aggregation.

Asmah Muallem, Firdous Kausar, Sajid Hussain et al. · 0 citations
#artificial intelligence Preprint Jan 2026

A Hybrid Insider Threat Detection Framework Combining Multi-Agent Simulation, Layered SIEM Correlation, and Theory-of-Mind Reasoning

This paper presents a hybrid insider threat detection framework for enterprise environments, integrating multi-agent simulation, layered SIEM correlation, trust-adaptive thresholds, behavioral and communication forensics, and Theory-of-Mind reasoning. Email is treated not as a control channel but as a coordination and...

Firdous Kausar, Asmah Muallem, N. Sattar et al. · 0 citations

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