Mosab Hamdan's repositories
Performance-Comparison-of-IDS-Based-on-Incremental-Learning-Algorithms-for-IoT-Networks
Performance Comparison of Intrusion Detection System Based on Incremental Learning Algorithms for IoT Networks
nomaly-based-Intrusion-Detection-Technique-for-IoT-Enabled-Smart-Cities
This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted for IoT-smart city networks, the upper layer network uses a gradient boosting classifier while the lower layer network employs deep learning (DL) based on the combination of a long-short-term memory and a convolutional neural network (CNN-LSTM).