Conversion of an Unsupervised Anomaly Detection System to Spiking Neural Network for Car Hacking Identification.
Yassine JaoudiChris YakopcicTarek M. TahaPublished in: IGSC (Workshops) (2020)
Keyphrases
- spiking neural networks
- unsupervised anomaly detection
- anomaly detection
- biologically inspired
- cerebellar model
- intrusion detection
- spiking neurons
- semi supervised
- neuron model
- liquid state machine
- neural network
- receptive fields
- learning rules
- biologically plausible
- artificial neural networks
- support vector
- image segmentation
- machine learning
- data sets