network intrusion detection using deep learning a
Networks (RNNs) and Long Short-Term Memory (LSTM) Designed for sequence data. Ideal for analyzing temporal patterns in network traffic. Effective in modeling sequential dependencies and detecting persistent threats. 3. Autoencoders Used for anomaly detection