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 ...
Video anomaly detection is a critical component of intelligent surveillance systems aimed at detecting anomalous events in real time. Traditional supervised models require substantial amounts of ...
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