Open AccessGame Traffic Classification Using Statistical Characteristics at the Transport Layer
Author(s) -
Han YoungTae,
Park gShik
Publication year - 2010
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.10.0109.0236
Subject(s) - traffic classification , computer science , decision tree , provisioning , transport layer , the internet , simple (philosophy) , internet traffic , network packet , tree (set theory) , application layer , layer (electronics) , artificial intelligence , computer network , world wide web , mathematics , mathematical analysis , philosophy , chemistry , organic chemistry , epistemology , software deployment , operating system
The pervasive game environments have activated explosive growth of the Internet over recent decades. Thus, understanding Internet traffic characteristics and precise classification have become important issues in network management, resource provisioning, and game application development. Naturally, much attention has been given to analyzing and modeling game traffic. Little research, however, has been undertaken on the classification of game traffic. In this paper, we perform an interpretive traffic analysis of popular game applications at the transport layer and propose a new classification method based on a simple decision tree, called an alternative decision tree (ADT), which utilizes the statistical traffic characteristics of game applications. Experimental results show that ADT precisely classifies game traffic from other application traffic types with limited traffic features and a small number of packets, while maintaining low complexity by utilizing a simple decision tree.