Spiking Neural Networks with Single-Spike Temporal-Coded Neurons for Network Intrusion Detection.
Shibo ZhouXiaohua LiPublished in: ICPR (2020)
Keyphrases
- network intrusion detection
- spiking neurons
- spiking neural networks
- biologically inspired
- neural models
- intrusion detection
- anomaly detection
- neural network
- synaptic weights
- spike trains
- fraud detection
- artificial neural networks
- network intrusion
- network traffic
- feed forward
- learning rules
- biologically plausible
- synaptic plasticity
- intrusion detection system
- hebbian learning
- data sets
- action potentials
- radial basis function
- visual processing
- motor control
- association rules