Identifying key features for P2P traffic classification

IEEE International Conference on Communications

Volumn , Issue , 2011, Pages

  Valenti, Silvio ^a   Rossi, Dario ^a  

^a TELECOM PARISTECH   (France)

Author keywords

[No Author keywords available]

Indexed keywords

AMOUNT OF INFORMATION; APPLICATION IDENTIFICATION; BEHAVIORAL FEATURES; BEHAVIORAL PROPERTIES; CLASSIFICATION PERFORMANCE; FLOW-LEVEL; GENERAL APPROACH; KEY FEATURE; NETFLOWS; OPERATIONAL COMMUNITY; P2P APPLICATIONS; REAL NETWORKS; SUPERVISED MACHINE LEARNING; TRAFFIC CLASSIFICATION; TRAFFIC VOLUMES;

DATA FLOW ANALYSIS; INFORMATION THEORY; LEARNING ALGORITHMS;

TELECOMMUNICATION TRAFFIC;

EID: 80052140301     PISSN: 05361486     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icc.2011.5963018     Document Type: Conference Paper

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