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E2EMON
2006
IEEE
13 years 10 months ago
A Hybrid Approach for Accurate Application Traffic Identification
—The traffic dynamics of the Internet’s dominant applications, such as peer-to-peer and multimedia, worsen the accuracy of the existing application traffic identification. Ther...
Young J. Won, Byung-Chul Park, Hong-Taek Ju, Myung...
WWW
2004
ACM
14 years 5 months ago
Accurate, scalable in-network identification of p2p traffic using application signatures
The ability to accurately identify the network traffic associated with different P2P applications is important to a broad range of network operations including application-specifi...
Subhabrata Sen, Oliver Spatscheck, Dongmei Wang
APNOMS
2008
Springer
13 years 6 months ago
Empirical Analysis of Application-Level Traffic Classification Using Supervised Machine Learning
Accurate application traffic classification and identification are important for network monitoring and analysis. The accuracy of traditional Internet application traffic classific...
Byungchul Park, Young J. Won, Mi-Jung Choi, Myung-...
ACMSE
2005
ACM
13 years 6 months ago
Simulating application level self-similar network traffic using hybrid heavy-tailed distributions
Many networking researches depend on an accurate simulation of network traffic. For example, Intrusion Detection Systems generally require tuning to be effective in each new envir...
Song Luo, Gerald A. Marin
APNOMS
2006
Springer
13 years 8 months ago
Rate-Based and Gap-Based Available Bandwidth Estimation Techniques in Cross-Traffic Context
Recent years have seen an increasing interest in end-to-end available bandwidth estimation. A number of estimation techniques and tools have been developed during the last few year...
Wayman Tan, Marat Zhanikeev, Yoshiaki Tanaka