Enhancing IoT Security with CNN and LSTM-Based Intrusion Detection
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Enhancing IoT Security with CNN and LSTM-Based Intrusion Detection Systems

28 May 2024

Hamza Kheddar

Papers citing "Enhancing IoT Security with CNN and LSTM-Based Intrusion Detection Systems"

7 / 7 papers shown

Title
Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments Noussaiba Djeffal Djamel Addou Hamza Kheddar Sid Ahmed Selouani 18 1 0 02 May 2025
Improving Pretrained YAMNet for Enhanced Speech Command Detection via Transfer Learning Sidahmed Lachenani Hamza Kheddar Mohamed Ouldzmirli 32 2 0 26 Apr 2025
Optimized detection of cyber-attacks on IoT networks via hybrid deep learning models A. Bensaoud Jugal Kalita 43 1 0 17 Feb 2025
Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models Afrah Gueriani Hamza Kheddar A. Mazari 26 0 0 21 Jan 2025
Automatic Speech Recognition with BERT and CTC Transformers: A Review Noussaiba Djeffal Hamza Kheddar Djamel Addou A. Mazari Yassine Himeur 29 16 0 12 Oct 2024
XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model Yasir Ali Farrukh S. Wali I. Khan Nathaniel D. Bastian 44 2 0 27 Aug 2024
Deep Transfer Learning for Automatic Speech Recognition: Towards Better Generalization Hamza Kheddar Yassine Himeur S. Al-Maadeed Abbes Amira F. Bensaali 28 75 0 27 Apr 2023