Author

A. Alluhaidan

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Open access Sep 2026

A novel FedLLM intrusion detection framework for privacy-preserving security in IoT enabled smart city network

The proliferation of Internet of Things (IoT) devices in Smart City infrastructures has introduced unprecedented opportunities for automation, healthcare, and transportation, while simultaneously exposing the ecosystem to complex and multi-dimensional cyberattacks. Conventional intrusion detection systems (IDS) either...

Shakila Basheer, G. Aldehim, A. Alluhaidan et al. · Wireless networks · 1 citation

Aug 2026

Mathematical modelling of attention-guided deep learning for real-time text emotion recognition in assistive interaction systems for disabled persons.

This study introduces an Attention-Guided Deep Learning Framework for Real-Time Text Emotion Recognition for Individuals with Disabilities (AGDL-TERID) model. The AGDL-TERID model aims to enhance assistive human-computer interaction by accurately identifying emotions from textual inputs generated by users with disabili...

A. Alluhaidan, Salihah Alotaibi, Haidar A. Almubarak et al. · Disability and Rehabilitatio... · 0 citations

#federated learning Aug 2026

SAFORI‐IDS: Semantic‐Aware Federated Intrusion Detection for IoT‐Enabled 6G Metaverse Infrastructure

The original SAFORI‐IDS framework uniquely merges semantic context and federated privacy to secure 6G‐enabled Metaverse environments and achieves over 99% accuracy, precision, recall, and F1‐score, significantly outperforming state‐of‐the‐art baselines while maintaining lightweight computational efficiency suitable for...

Shakila Basheer, Ghadah Aldehim, A. Alluhaidan et al. · Transactions on Emerging Tel... · 0 citations