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Open access Aug 2026

Transparent Deep Learning for Emerging Cyberattack Detection in IoT Networks

The findings support the feasibility of combining compact hybrid classification with transparent post-hoc explanation, and the revised study distinguishes predictive performance from SHAP interpretation and defines the additional evidence required for reproducible unseen-attack evaluation.

H. Hassan · 0 citations

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