An Improved Classification of Network Traffic Using Adaptive Nearest Cluster Based Classifier

Provided by: IJCTT-International Journal of Computer Trends and Technology
Topic: Security
Format: PDF
In modern network security and management architecture, classification of traffic plays a major role in recent years. In particular, the process of intrusion detection and QoS control is considered as a essential components in traffic classification. Recent method uses statistical feature related classification approach with machine learning techniques for traffic classification. Earlier method used several machine learning classifiers for classification purpose. Due to the lack of classifier performance in each aspect, the overall classification of traffic affected while least size of training data are used.

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