Research of P2P traffic identification based on naive Bayes and decision tables combination algorithm

A novel P2P traffic identification method based on the combination of naive Bayes and decision tables is proposed, which uses Fast Correlation-Based Filter (FCBF) algorithm to extract P2P flow characteristics, and utilises six DTNB (combination of naive Bayes and decision tables) combined with dynam...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	He Xu, Suoping Wang, Ruchuan Wang, Dan Zhao
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Classification algorithms decision tree Internet IP networks Machine learning naive Bayes Niobium P2P Software traffic identification
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