Improving Anomaly Detection Error Rate by Collective Trust Modeling.
Martin RehákMichal PechoucekKarel BartosMartin GrillPavel CeledaVojtech KrmicekPublished in: RAID (2008)
Keyphrases
- error rate
- anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- test set
- data assimilation
- network traffic
- computer security
- network intrusion detection
- unsupervised anomaly detection
- intrusion detection system
- detecting anomalous
- one class support vector machines
- unsupervised learning
- network anomaly detection
- detect anomalies
- cumulative sum
- negative selection algorithm
- network security
- text entry
- equal error rate
- misclassification rate
- connectionist systems
- clonal selection algorithm
- false discovery rate
- data sets
- classification accuracy
- feature vectors