R. Gunasundari

BBFS-LSTM-AE: An Optimized Intrusion Detection Model for Securing IoT Networks

A novel intelligent IDS system using the Feature Selection technique inspired by Bowerbird Courtship and Long Short-Term Memory Autoencoder and Long Short-Term Memory Autoencoder using Seagull Optimizer is introduced to build an effective and scalable IDS that can perform efficient feature selection, learn deep temporal dependencies, and tune its hyperparameters to classify malicious and benign traffic more effectively.