Using clustering to improve the KNN-based classifiers for online anomaly network traffic identification.
Ming-Yang SuPublished in: J. Netw. Comput. Appl. (2011)
Keyphrases
- network traffic
- knn
- anomaly detection
- k nearest neighbor
- k nearest neighbour
- intrusion detection
- classification algorithm
- nearest neighbor algorithm
- nearest neighbor
- classification method
- majority voting
- intrusion detection system
- distance function
- text categorization
- feature selection
- knn classifier
- knn classification
- traffic data
- clustering algorithm
- text classification
- nearest neighbour
- knn algorithm
- network intrusion detection
- support vector
- data points
- k nearest
- naive bayes
- support vector machine
- internet traffic
- training data
- k means
- detect anomalies
- machine learning
- binary classification tasks
- information gain
- class labels
- non stationary
- distance measure
- active learning
- face recognition
- decision trees