Spiking Neural Networks with Single-Spike Temporal-Coded Neurons for Network Intrusion Detection.
Shibo ZhouXiaohua LiPublished in: CoRR (2020)
Keyphrases
- network intrusion detection
- spiking neurons
- spiking neural networks
- biologically inspired
- neural models
- intrusion detection
- spike trains
- anomaly detection
- synaptic weights
- network intrusion
- network traffic
- feed forward
- action potentials
- fraud detection
- learning rules
- neural network
- biologically plausible
- artificial neural networks
- neuronal networks
- hebbian learning
- motor control
- intrusion detection system
- reinforcement learning
- receptive fields
- training algorithm
- machine learning