Real-Time Anomaly Detection Using Hardware-based Unsupervised Spiking Neural Network (TinySNN).
Ali MehrabiNik DennlerYeshwanth BethiAndré van SchaikSaeed AfsharPublished in: ISIE (2024)
Keyphrases
- anomaly detection
- real time
- unsupervised anomaly detection
- unsupervised learning
- intrusion detection
- cerebellar model
- spiking neural networks
- detecting anomalies
- network traffic
- anomalous behavior
- biologically inspired
- network intrusion detection
- one class support vector machines
- network anomaly detection
- semi supervised
- intrusion detection system
- data assimilation
- cumulative sum
- detect anomalies
- negative selection algorithm
- liquid state machine
- feed forward
- neural network
- data sets
- control system
- artificial neural networks
- image processing
- machine learning