Gryphon: a semi-supervised anomaly detection system based on one-class evolving spiking neural network.
Konstantinos DemertzisLazaros S. IliadisIlias BougoudisPublished in: Neural Comput. Appl. (2020)
Keyphrases
- anomaly detection
- semi supervised
- spiking neural networks
- unsupervised anomaly detection
- biologically inspired
- connectionist systems
- unsupervised learning
- cerebellar model
- intrusion detection
- labeled data
- anomalous behavior
- detecting anomalies
- network intrusion detection
- liquid state machine
- supervised learning
- network traffic
- intrusion detection system
- learning rules
- network anomaly detection
- biologically plausible
- active learning
- feed forward
- pairwise
- artificial neural networks
- one class support vector machines
- motor control
- detect anomalies
- negative selection algorithm
- evolutionary algorithm
- dimensionality reduction
- visual cortex
- feature selection
- neural network