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Author

N. Karabayev

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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
Open access Jul 2026

Analysis of vulnerability databases for wireless networks in the Internet of Things for threat modelling

This study compares three widely used vulnerability sources for IoT systems-CVE, NVD, and ICS Advisories-using criteria such as data structure, machine readability, product identification, and risk metrics to build a unified vulnerability dataset suitable for threat modelling and risk assessment in smart city environme...

N. Karabayev, Y. Mardenov, T. Zhukabayeva et al. · 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
Open access 2026

Quantum-Enhanced Security for Edge-IIoT: Robust Intrusion Detection with a Novel Quantum-Classical Neural Network

A Residual Hybrid Quantum-Classical Neural Network (RHQ-CNN) for efficient intrusion detection in Edge-Industrial Internet of Things (Edge-IIoT) environments under idealized quantum simulation conditions is proposed.

Alanoud Al Mazroa, A. Alamoudi, N. Karabayev et al. · 0 citations

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