Automated pattern identification and classification: anomaly detection case study.
Ryan G. GossGeoff S. NitschkePublished in: GECCO (Companion) (2017)
Keyphrases
- anomaly detection
- case study
- unsupervised learning
- intrusion detection
- novelty detection
- detecting anomalies
- network traffic
- network intrusion detection
- pattern recognition
- anomalous behavior
- unsupervised anomaly detection
- network anomaly detection
- detecting anomalous
- pattern classification
- supervised learning
- one class support vector machines
- support vector
- intrusion detection system
- network security
- anomaly based intrusion detection
- cumulative sum
- feature extraction
- decision trees
- behavior analysis
- computer security
- malware detection
- text classification
- support vector machine
- negative selection algorithm
- self organizing maps
- computer systems
- network intrusion
- feature space
- connectionist systems
- machine learning
- data sets