Federated learning has emerged as the dominant paradigm for privacy-preserving intrusion detection across distributed networks, yet its vulnerability to adversarial manipulation of the training proces...
This study introduces MAG, a lightweight intrusion detection system (IDS) that couples a single-hidden-layer multilayer perceptron (MLP) with the Adam optimizer and a Grey Wolf Optimizer (GWO) for hyp...
Network intrusion detection systems play a vital role in safeguarding digital infrastructure. Still, significant challenges persist due to the highly imbalanced nature of network traffic and the lack ...
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