Anomaly detection is a critical technique for ensuring the safe operation of UAVs. However, traditional methods that rely on unimodal sensor data and neural networks often fail to capture the ...

School of Integrated Circuits, Shandong University, Jinan 250100, P. R. China Shenzhen Institute of Shandong University, Shenzhen 518057, P. R. China School of Integrated Circuits, Shandong University ...

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supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.

We propose GTAE-IDS, a novel unsupervised packet-based graph neural network framework aimed at early and precise anomaly detection in network traffic. GTAE-IDS employs graph embeddings to capture and ...