Analysis of features selection for p2p traffic detection using support vector machine
Network traffic classification plays a vital role in various network activities. Network traffic data include a large number of relevant and redundant features, which increase the flow classifier computational complexity and affect the classification results. This paper focuses on the analysis of di...
Saved in:
Main Authors: | Jamil, Haitham A., Zarei, Roozbeh, Fadlelssied, Nadir O., Aliyu, M., Nor, Sulaiman M., Marsono, Muhammad N. |
---|---|
Format: | Conference or Workshop Item |
Published: |
2013
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/50895/ http://apps.webofknowledge.com.ezproxy.utm.my/full_record.do?product=WOS&search_mode=GeneralSearch&qid=13&SID=N2huBv5qmbZvAuY37Y4&page=1&doc=1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An analytical modeling approach of outbound p2p traffic
by: Marsono, Muhammad Nadzir
Published: (2011) -
Improved scheme of e-mail spam classification using meta-heuristics feature selection and support vector machine
by: Elssied Hamed, Nadir Omer Fadl
Published: (2015) -
Utilization of filter feature selection with support vector machine for tumours classification
by: Tengku Mazlin, T. A. H., et al.
Published: (2020) -
Support Vector Machine – Recursive Feature Elimination for feature selection on multi-omics lung cancer data
by: Azman, Nuraina Syaza, et al.
Published: (2023) -
Practical training dataset generation and retraining mechanism for on-line peer-to-peer traffic classification
by: Zarei, Roozbeh
Published: (2012)