An Autoencoder-Based Anomaly Detection Framework for Vehicular Networks Using the CICIoV2024 Dataset
Abstract: In vehicular networks, the detection of malicious traffic presents significant challenges due to the critical nature of automotive systems and the evolving complexity of cyber attacks. This ...
Abstract: The current fast proliferation of the Internet of Things (IoT) networks has made anomaly detection and security more difficult. Traditional methods are not able to detect hostile activities ...
James is a published author with multiple pop-history and science books to his name. He specializes in history, space, strange science, and anything out of the ordinary.View full profile James is a ...
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