Neural memory plasticity for medical anomaly detection.
Tharindu FernandoSimon DenmanDavid Ahmedt-AristizabalSridha SridharanKristin R. LaurensPatrick J. JohnstonClinton FookesPublished in: Neural Networks (2020)
Keyphrases
- anomaly detection
- intrusion detection
- biologically plausible
- biologically inspired
- detecting anomalies
- spike trains
- anomalous behavior
- network anomaly detection
- spiking neural networks
- neural network
- unsupervised anomaly detection
- network traffic
- network intrusion detection
- one class support vector machines
- network security
- behavior analysis
- intrusion detection system
- detect anomalies
- negative selection algorithm
- malware detection
- unsupervised learning
- cumulative sum
- detecting anomalous
- data sets
- intrusion prevention
- information systems
- image segmentation
- network intrusion