Publications by authors named "Abdul Qaddos"
Article Synopsis
- * This study introduces a hybrid model that combines convolutional neural networks (CNN) and gated recurrent units (GRU) specifically designed for IoT security, effectively capturing essential features and relationships in the data.
- * Validation on the IoTID20 dataset achieved a 99.60% accuracy in detecting attacks, and testing on another dataset, UNSW-NB15, showed high accuracy as well, demonstrating the model's effectiveness and potential as a solution for IoT security challenges.
