An anomaly detection system based on variable N-gram features and one-class SVM.
Wael KhreichBabak KhosravifarAbdelwahab Hamou-LhadjChamseddine TalhiPublished in: Inf. Softw. Technol. (2017)
Keyphrases
- anomaly detection
- n gram
- one class support vector machines
- intrusion detection
- language model
- network intrusion detection
- anomalous behavior
- network traffic
- detecting anomalies
- co occurrence
- network anomaly detection
- feature vectors
- language modeling
- intrusion detection system
- text classification
- variable length
- feature extraction
- machine learning
- information extraction
- reinforcement learning
- data mining
- neural network
- databases