A Deep Hybrid Recursive Model Combining 1D-CNN and BI-LSTM for Reliable Intrusion Detection in IoT Big Data Streams
Purpose: This study proposes a novel hybrid recursive deep learning-based Intrusion Detection System (IDS) for detecting sophisticated security threats in high-velocity IoT big data streams. Design/Methodology/Approach: The proposed framework integrates one-dimensional Convolutional Neural Networks (1D-CNNs) for lightw...