A Divergence-measure Based Classification Method for Detecting Anomalies in Network Traffic.
Kiran S. BalaganiVir V. PhohaGopi K. KuchimanchiPublished in: ICNSC (2007)
Keyphrases
- classification method
- detecting anomalies
- network traffic
- anomaly detection
- divergence measure
- kullback leibler
- mutual information
- intrusion detection
- probability models
- fuzzy c means
- text classification
- knn
- intrusion detection system
- k nearest neighbor
- support vector machine svm
- registration accuracy
- kl divergence
- image registration
- classification algorithm
- distance measure
- kullback leibler divergence
- clustering algorithm
- unsupervised learning
- data mining applications
- neural network
- data sets
- image segmentation
- feature space
- image processing
- active learning