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20222026
most citedAutomatic Speech Recognition using Advanced Deep Learning Approaches: A survey

194 citations · 367 across the 21 of their papers we have counts for

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8 papers · 1 filter

cs.CR2026

A Deployment-Oriented and Resource-Efficient Neuro-Symbolic Framework for Explainable DDoS Detection in Operational Technology Networks

Mikiyas Alemayehu, Mohamed Chahine Ghanem, Hamza Kheddar +2

Operational technology (OT) environments, including programmable logic controllers (PLCs), industrial control systems (ICS), and supervisory control and data acquisition (SCADA) sy…

cs.CR20262 cited

SE-Enhanced ViT and BiLSTM-Based Intrusion Detection for Secure IIoT and IoMT Environments

Afrah Gueriani, Hamza Kheddar, Ahmed Cherif Mazari +2

With the rapid growth of interconnected devices in Industrial and Medical Internet of Things (IIoT and MIoT) ecosystems, ensuring timely and accurate detection of cyber threats has…

cs.CR2025

A Robust Cross-Domain IDS using BiGRU-LSTM-Attention for Medical and Industrial IoT Security

Afrah Gueriani, Hamza Kheddar, Ahmed Cherif Mazari +1

The increased Internet of Medical Things IoMT and the Industrial Internet of Things IIoT interconnectivity has introduced complex cybersecurity challenges, exposing sensitive data,…

cs.CR2025

Hierarchical Graph Neural Network for Compressed Speech Steganalysis

Mustapha Hemis, Hamza Kheddar, Mohamed Chahine Ghanem +1

Steganalysis methods based on deep learning (DL) often struggle with computational complexity and challenges in generalizing across different datasets. Incorporating a graph neural…

cs.CR2025

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models

Afrah Gueriani, Hamza Kheddar, Ahmed Cherif Mazari

The rapid expansion of the industrial Internet of things (IIoT) has introduced new challenges in securing critical infrastructures against sophisticated cyberthreats. This study pr…

cs.CR2024

Transformers and Large Language Models for Efficient Intrusion Detection Systems: A Comprehensive Survey

Hamza Kheddar

With significant advancements in Transformers LLMs, NLP has extended its reach into many research fields due to its enhanced capabilities in text generation and user interaction. O…