IEEE

Network Intrusion Detection System Based on Enhanced Dual Gaussian Mixture Variational Autoencoders for Internet of Vehicles

Abstract: The Internet of Vehicles (IoV) is highly vulnerable to attacks due to its open communication environment, with new types of attacks continuously emerging. However, existing Network Intrusion ...
IEEE

Intrusion Detection System Framework for SDN-Based IoT Networks Using Deep Learning Approaches With XAI-Based Feature Selection Techniques and Domain-Constrained Features

Abstract: The proliferation of Internet of Things (IoT) applications impact many aspects of life, including smart homes, smart offices, and smart cities, among others. However, it poses significant ...