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Author

E. Benkhelifa

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Open access Sep 2026

A two-stage context-aware meta-ensemble framework for collision risk prediction in Internet of Vehicles

A key challenge in Internet of Vehicles (IoV) environments is accurately predicting collision risks, given the dynamic nature of traffic systems and the variety of available data sources. Existing approaches often rely on structured IoV data, while visual contextual information is not fully incorporated into the predic...

T. Zhukabayeva, Zulfiqar Ahmad, N. Karabayev et al. · 0 citations
#artificial intelligence Preprint Oct 2026

Out of Sync, Out of Sight: Phantom State Attacks against IIoT Intrusion Detection

Machine learning-based intrusion detection systems (IDS) are critical for securing Industrial Internet of Things (IIoT) environments. Most adversarial research against them perturbs the feature vector or the traffic that produces it, and depends on gradient access, repeated model queries, or a learned model of benign t...

Sabrine Ennaji, E. Benkhelifa, Nadia Kabachi · 0 citations
#explainable ai Open access Sep 2026

Explainable AI-driven edge–cloud framework for cluster-based predictive cyber threat detection in IIoT-enabled internet of vehicles

A robust and explainable cybersecurity framework for IoV in IIoT Cyber-Physical Systems (CPS) is proposed, in which implementation and validation using the RT-IoT2022 (Real-Time Internet of Things) dataset is performed.

T. Zhukabayeva, Zulfiqar Ahmad, N. Karabayev et al. · 0 citations

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