Reducing false positives of network anomaly detection by local adaptive multivariate smoothing.
Martin GrillTomás PevnýMartin RehákPublished in: J. Comput. Syst. Sci. (2017)
Keyphrases
- false positives
- network anomaly detection
- false negative
- detection rate
- low false positive rate
- false positive rate
- number of false positives
- true positive
- anomaly detection
- false alarms
- self organizing maps
- network intrusion detection
- adaptive algorithms
- machine learning
- intrusion detection
- object detection
- feature space
- training data