An Overview of Network Traffic Classification Methods
نویسنده
چکیده
Network traffic classification can be used to identify different applications and protocols that exist in a network. Actions such as monitoring, discovery, control and optimization can be performed by using classified network traffic. The overall goal of network traffic classification is improving the network performance. Once the packets are classified as belonging to a particular application, they are marked. These markings or flags help the router determine appropriate service policies to be applied for those flows. This paper gives an overview of available network classification methods and techniques. Researchers can utilize this paper for approaching real time network traffic classification. Traffic classification using payload, statistical analysis, deep packet inspection, naïve Bayesian estimator and Bayesian neural networks are reviewed in this paper. Keywordsnetwork traffic classification; payload; statistical analysis; deep packet inspection; neural networks; statistical fingerprinting; traffic classes ______________________________________________*****______________________________________________
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