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: Log-based anomaly detection aims to identify abnormal system behaviors, frequent early indicators of system failures, by analyzing log data generated during system execution. Automating this ...
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 ...
The shape of the universe is not something we often think about. My colleagues and I have published a new study that suggests it could be asymmetric or lopsided, meaning not the same in every ...
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