Analysis of features selection for P2P traffic detection using support vector machine

Jamil, Haitham A, Zarei, Roozbeh, Fadlelssied, Nadir O, Aliyu, M, Nor, Sulaiman M and Marsono, Muhammad N 2013, Analysis of features selection for P2P traffic detection using support vector machine, in ICoICT 2013 : Smart system for the convergence of technology and services : Proceedings of the 2013 International Conference of Information and Communication Technology, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 116-121, doi: 10.1109/ICoICT.2013.6574558.

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Title Analysis of features selection for P2P traffic detection using support vector machine
Author(s) Jamil, Haitham A
Zarei, RoozbehORCID iD for Zarei, Roozbeh orcid.org/0000-0001-6738-334X
Fadlelssied, Nadir O
Aliyu, M
Nor, Sulaiman M
Marsono, Muhammad N
Conference name Information and Communication Technology. Conference (2013 : Bandung, Indonesia)
Conference location Bandung, Indonesia
Conference dates 2013/03/20 - 2013/07/22
Title of proceedings ICoICT 2013 : Smart system for the convergence of technology and services : Proceedings of the 2013 International Conference of Information and Communication Technology
Editor(s) [Unknown]
Publication date 2013
Series Information and Communication Technology Conference
Start page 116
End page 121
Total pages 6
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) Component
P2P traffic
Flow-based detection
Support vector machine
Features selection
Science & Technology
Technology
Computer Science, Theory & Methods
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
ISBN 9781467349925
Language eng
DOI 10.1109/ICoICT.2013.6574558
Indigenous content off
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2013, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30123912

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