JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2010, Vol. 40 ›› Issue (5): 1-7.

• Articles •     Next Articles

Method of feature generation and selection for network traffic classification

YANG Ai-min1, ZHOU Yong-mei1, DENG He2, ZHOU Jian-feng3   

  1. 1. School of Informatics, Guangdong University of Foreign Studies, Guangzhou 510420,China;
     2. Changsha Social Work College, Changsha 410004, China;
    3. School of Management, Guangdong University of Foreign Studies, Guangzhou 510420, China
  • Received:2010-04-02 Online:2010-10-16 Published:2010-04-02

PDF (PC)

2895

Abstract:

In the System of Network Traffic Classification based on machine learning method, feature generation and feature selection directly affects the speed and accuracy of classification. To solve this problem, in feature generation aspect, we analyze the packet’s attributes (size, count, time, flag) and flow’s attributes (time) from the information of Packet-Level and FlowLevel, and 37 statistical features are generated. In feature selection aspect, we proposes a method of feature selection integrating Filter model and Wrapper model, to decrease the dimension of features. Experiments show the proposed methods improve the accuracy of classification.

Key words: network traffic classification, feature generation, feature selection, feature distance, genetic algorithm

[1] MOU Lianming. Weighted k sub-convex-hull classifier based on adaptive feature selection [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(5): 32-37.
[2] CHEN Jiajie, WANG Jinfeng. Method for solving Choquet integral model based on ant colony algorithm [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(3): 81-87.
[3] WANG Fei, XU Jian, LI Wei, WANG Xinhao, SHI Xiaohan. Rolling optimal dispatch method of wind power based on distributed energy storage system [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(6): 89-94.
[4] LI Sushu, WANG Shitong, LI Tao. A feature selection method based on LS-SVM and fuzzy supplementary criterion [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(3): 34-42.
[5] FANG Hao, LI Yun. Random undersampling and POSS method for software defect prediction [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(1): 15-21.
[6] MO Xiaoyong, PAN Zhisong, QIU Junyang, YU Yajun, JIANG Mingchu. Anomaly detection in network traffic based on online feature selection [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(4): 21-27.
[7] LIU Debao, WU Yaohua, GUO Yaoyang, WANG Yanyan. Item assignment optimization of automatic picking system based on hybrid picking strategy [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2015, 45(6): 36-44.
[8] DONG Hongbin, ZHANG Guangjiang, PANG Jinwei, HAN Qilong. A clustering ensemble algorithm based on co-evolution [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2015, 45(2): 1-9.
[9] LIANG Xingjian, ZHAN Zhihui. Improved genetic algorithm based on the dual-mode mutation strategy [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2014, 44(6): 1-7.
[10] WEI Xiaomin, XU Bin, GUAN Jihong. Prediction of protein energy hot spots based on recursion feature elimination [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2014, 44(2): 12-20.
[11] PAN Dong-yin, ZHU Fa, XU Sheng, YE Ning*. Feature selection of gene expression profiles of colon cancer [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2012, 42(2): 23-29.
[12] SUN Peng, CHENG Shi-qing*, XIE Jing-si, ZHANG Hai-rui. CV-GA-SVM model for predicting the ash fusion point of a mixed biomass [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2012, 42(2): 108-111.
[13] LI Guo-he1,2, YUE Xiang1,2, LI Xue3, WU Wei-jiang1,2, LI Hong-qi1. A method of feature selection for continuous attributes [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2011, 41(6): 1-6.
[14] LI Xia1, WANG Lian-xi2, JIANG Sheng-yi1. Ensemble learning based feature selection for imbalanced problems [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2011, 41(3): 7-11.
[15] YANG Qinmin, LIU Hailin*. Dynamic channel allocation modeling and algorithm in cellular networks
based on a genetic algorithm [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2011, 41(2): 85-90.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright 2018 © Editorial office of Journal of Shandong University (Engineering Science)
Supported by Beijing Magtech Co.Ltd