Internet traffic classification using SVM with flexible feature space
SVM is a typical machine learning algorithm with prefect generalization capacity,which is suitable for the internet traffic classification.At present,there are two approaches,One-Against-All and One-Against-One,proposed for extending SVM to multi-class problem like traffic classification.However,the...
Saved in:
Main Authors: | Yaguan QIAN, Xiaohui GUAN, Bensheng YUN, Qiong LOU, Pengfei MA |
---|---|
Format: | Article |
Language: | zho |
Published: |
Beijing Xintong Media Co., Ltd
2016-05-01
|
Series: | Dianxin kexue |
Subjects: | |
Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016132/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An approach of Bagging ensemble based on feature set and application for traffic classification
by: Yaguan QIAN, et al.
Published: (2018-04-01) -
A network traffic classification method based on random forest and improved convolutional neural network
by: Bensheng YUN, et al.
Published: (2023-07-01) -
Internet traffic classification method based on behavior feature learning
by: Zhen LIU, et al.
Published: (2016-06-01) -
A Network Traffic Classification Method for Class-Imbalanced Data
by: Xiaohui Guan, et al.
Published: (2015-06-01) -
A novel perturbation attack on SVM by greedy algorithm
by: Yaguan QIAN, et al.
Published: (2019-01-01)