sv(M)kmeans - A Hybrid Feature Selection Technique for Reducing False Positives in Network Anomaly Detection.
Shubham SainiShraey BhatiaI. Sumaiya ThaseenPublished in: COMAD (2014)
Keyphrases
- false positives
- network anomaly detection
- feature selection
- false negative
- anomaly detection
- network intrusion detection
- false positive rate
- detection rate
- k means
- number of false positives
- self organizing maps
- low false positive rate
- true positive
- false alarms
- text categorization
- feature space
- text classification
- squared euclidean distance
- dimensionality reduction
- multi class
- support vector
- machine learning
- feature set
- support vector machine
- non stationary
- model selection
- high detection rate
- data mining
- data sets