A Hybrid Network Anomaly and Intrusion Detection Approach Based on Evolving Spiking Neural Network Classification.
Konstantinos DemertzisLazaros S. IliadisPublished in: e-Democracy (2013)
Keyphrases
- intrusion detection
- network traffic
- anomaly detection
- spiking neural networks
- network intrusion
- intrusion detection system
- network attacks
- intrusion prevention
- network traffic data
- network security
- biologically inspired
- intrusion detection and prevention
- network intrusion detection
- computer networks
- pattern recognition
- network intrusions
- normal behavior
- detecting anomalous
- machine learning
- decision trees
- information security
- learning rules
- spiking neurons
- feature extraction
- data mining
- supervised learning
- classification accuracy
- feature space
- support vector machine svm
- support vector machine
- object recognition
- support vector
- worm detection