A benign-only autoencoder with reconstruction and triplet margin loss detects unseen IoT/IoV attacks with high reported accuracy, but the evaluation uses proxy IoT datasets and test-set-tuned hyperparameters.
Iot practices in military applications,
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A Joint Reconstruction-Triplet Loss Autoencoder Approach Towards Unseen Attack Detection in IoV Networks
A benign-only autoencoder with reconstruction and triplet margin loss detects unseen IoT/IoV attacks with high reported accuracy, but the evaluation uses proxy IoT datasets and test-set-tuned hyperparameters.