Tag: intrusion detection system

Researchers have developed ZD-HybridNet, a hybrid Transformer-LSTM deep learning framework that detects attack categories withheld from training and explains its ...

Researchers in Vietnam show that multimodal intrusion detection systems hardened with adversarial training can resist transferable adversarial examples generated by ...

Researchers have developed a federated, lightweight deep learning system that detects attacks on car CAN bus networks with high accuracy ...

Researchers have developed SA-IDS, a self-supervised intrusion detection system that learns normal behavior without labeled data and adapts to drift ...