Skip to content
Free planNo credit card requiredStart writing
AI for Research home
AI for Research home
Dashboard
Sign inGet started

article · Journal of Hubei University of Technology · 2009

A Comparative Study of Naive Bayesian and Full Bayesian in DFI Application

Yu Zhao

Cited by 0Abstract and details only

Abstract

Deep Packet Inspection and Deep Flow Inspection are the methods that inspect P2P application.Deep Packet Inspection can't detect unknown and encrypt P2P application,but Deep Flow Inspection overcomes this shortage.The Bayesian classification technique which is relatively more mature in field of fuzzy recognition is applied to the detection technique of P2P deep flow inspection.Based on practical project,we research Bayesian classifier-Naive Bayesian and full Bayesian in arithmetic,result of training and result of running.The results of an experiment show Naive Bayesian and full Bayesian can rapidly and accurately locate P2P flow application.Naive Bayesian is more advanced in accuracy and full Bayesian is better in runtime.

Cite this paper

APA 7

Zhao, Y. (2009). A Comparative Study of Naive Bayesian and Full Bayesian in DFI Application. Journal of Hubei University of Technology.

MLA 9

Zhao, Yu. “A Comparative Study of Naive Bayesian and Full Bayesian in DFI Application.” Journal of Hubei University of Technology, 2009.

Chicago

Zhao, Yu. 2009. “A Comparative Study of Naive Bayesian and Full Bayesian in DFI Application.” Journal of Hubei University of Technology.

Harvard

Zhao, Y. (2009) ‘A Comparative Study of Naive Bayesian and Full Bayesian in DFI Application’, Journal of Hubei University of Technology.

BibTeX
@article{zhao2009comparative,
  title = {{A Comparative Study of Naive Bayesian and Full Bayesian in DFI Application}},
  author = {Zhao, Yu},
  journal = {Journal of Hubei University of Technology},
  year = {2009}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.

Related papers