Enhancing IoT Security: A Deep Learning Approach with Autoencoder-DNN Intrusion Detection Model

As the Internet of Things (IoT) continues to proliferate, driving an unprecedented surge in network traffic worldwide, the imperative to safeguard interconnected devices against security threats has become increasingly paramount. In this work, we introduce a new deep learning-based intrusion detection model, specifically by integrating an autoencoder with a deep neural network. We employ a combina...