McPAD: A multiple classifier system for accurate payload-based anomaly detection.
Roberto PerdisciDavide AriuPrahlad FoglaGiorgio GiacintoWenke LeePublished in: Comput. Networks (2009)
Keyphrases
- anomaly detection
- network traffic
- multiple classifier systems
- intrusion detection
- detecting anomalies
- anomalous behavior
- intrusion detection system
- network intrusion detection
- network anomaly detection
- majority voting
- negative selection algorithm
- one class support vector machines
- detect anomalies
- data sets
- texture classification
- multi class
- hidden markov models
- pattern recognition
- similarity measure
- feature extraction
- decision trees
- machine learning