194 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of DubaiAE9 papers
- University of Sciences and Technology Houari BoumedieneDZ9 papers
- American University of SharjahAE6 papers
- Queen's University BelfastGB6 papers
- University of LiverpoolGB5 papers
- University of BahrainBH4 papers
- University of SharjahAE4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Institut d'Astrophysique de ParisFR3 papers
- London Metropolitan UniversityGB3 papers
- Northwest African American MuseumUS3 papers
- Qatar UniversityQA3 papers
9 papers · 1 filter
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…
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,…
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…
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…
Advanced Persistent Threats (APT) Attribution Using Deep Reinforcement Learning
Animesh Singh Basnet, Mohamed Chahine Ghanem, Dipo Dunsin +1
The development of the DRL model for malware attribution involved extensive research, iterative coding, and numerous adjustments based on the insights gathered from predecessor mod…
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…
Deep Reinforcement Learning for Intrusion Detection in IoT: A Survey
Afrah Gueriani, Hamza Kheddar, Ahmed Cherif Mazari
The rise of new complex attacks scenarios in Internet of things (IoT) environments necessitate more advanced and intelligent cyber defense techniques such as various Intrusion Dete…
Deep Learning for Steganalysis of Diverse Data Types: A review of methods, taxonomy, challenges and future directions
Hamza Kheddar, Mustapha Hemis, Yassine Himeur +2
Steganography and steganalysis are two interrelated aspects of the field of information security. Steganography seeks to conceal communications, whereas steganalysis is aimed to ei…
Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review
Hamza Kheddar, Yassine Himeur, Ali Ismail Awad
Globally, the external internet is increasingly being connected to industrial control systems. As a result, there is an immediate need to protect these networks from a variety of t…