Reservoir computing for network intrusion classification
This work proposes custom ESN- and LSM-based architectures that offer significantly lower computational complexity than conventional deep learning models and demonstrates performance comparable to CNN and LSTM-based approaches while achieving substantial reductions in resource usage, making them suitable for real-time...