-grams in intrusion detection: anomaly detection vs. classification.
Christian WressneggerGuido SchwenkDaniel ArpKonrad RieckPublished in: AISec (2013)
Keyphrases
- intrusion detection
- anomaly detection
- intrusion detection system
- network intrusion detection
- detecting anomalous
- network traffic
- unsupervised learning
- detecting anomalies
- network security
- unsupervised anomaly detection
- anomalous behavior
- classification accuracy
- pattern recognition
- text classification
- network intrusion
- support vector
- computer security
- information security
- machine learning
- data sets
- negative selection algorithm
- one class support vector machines
- feature selection
- decision trees
- support vector machine
- real world
- model selection
- normal behavior
- detect anomalies
- feature extraction
- training set