A feature analysis approach to network traffic in communication networks

被引：0

作者：

Zhao, Hong-Hao ^{[1
]}

Dong, Hong-Yu ^{[2
]}

Zhang, Xiao-Hui ^{[2
]}

Ye, Qing ^{[2
]}

Meng, Fan-Bo ^{[1
]}

Sun, Xin-Yu ^{[3
]}

Cao, Ying ^{[3
]}

机构：

[1] State Grid Liaoning Elect Power Co Ltd, Shenyang 110006, Peoples R China

[2] State Grid Fuxin Elect Power Supply Co, Fuxin 123000, Peoples R China

[3] Post & Telecommun Co Ltd, Liaoning Planning & Designing Inst, Shenyang 110011, Peoples R China

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMMUNICATION AND ELECTRONIC INFORMATION ENGINEERING (CEIE 2016) | 2016年 / 116卷

关键词：

Network Traffic; Feature Analysis; Time-Frequency Analysis; Feature Extraction; ANOMALY DETECTION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Network traffic holds the highlighting dynamic features. How to accurately characterize the hidden properties of network traffic has an important impact on network activities, such as anomaly detection and performance analysis. This paper proposes a feature analysis approach to describe network traffic. Firstly, the wavelet packet transformation is used to extract the multi-scale feature of network traffic. Then the principal component analysis method is exploited to refine the hidden features of network traffic in the time-frequency domain. Finally, to validate our feature analysis method, an anomaly detection test is conducted. Simulation results show that our approach is promising.

引用

页码：648 / 655

页数：8

共 50 条

[41] Performance analysis of a multi-video traffic communication network
Cheung, RWL
Liu, PKC
DIGITAL COMPRESSION TECHNOLOGIES AND SYSTEMS FOR VIDEO COMMUNICATIONS, 1996, 2952 : 133 - 141
[42] THE EFFICIENCY ANALYSIS OF THE STATISTICAL FEATURE IN NETWORK TRAFFIC IDENTIFICATION BASED ON BP NEURAL NETWORK
Mu, Cheng
Zhang, Changzhi
Huang, Xiaohong
Ma, Yan
2013 5TH IEEE INTERNATIONAL CONFERENCE ON BROADBAND NETWORK & MULTIMEDIA TECHNOLOGY (IC-BNMT), 2013, : 70 - 74
[43] Network traffic prediction for detecting DDoS attacks in IEC 61850 communication networks
da Silva, L.E.
Coury, D.V.
da Silva, L.E. (lazaro@cefetmg.br), 1600, Elsevier Ltd (87):
[44] Network traffic prediction for detecting DDoS attacks in IEC 61850 communication networks
da Silva, L. E.
Coury, D., V
COMPUTERS & ELECTRICAL ENGINEERING, 2020, 87
[45] Complex-Network-Inspired Design of Traffic Generation Patterns in Communication Networks
Wu, Jiajing
Xia, Yongxiang
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2017, 64 (05) : 590 - 594
[46] Analysis of network traffic in ad-hoc networks based on DSDV protocol with emphasis on mobility and communication patterns*
Garousi, Vahid
2005 1st IEEE/IFIP International Conference in Central Asia on Internet (ICI), 2005, : 124 - 128
[47] Efficient alarm analysis approach for communication networks
Qi X.
Hu Q.
Yao X.
Liu L.
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2019, 46 (04): : 1 - 8and158
[48] Novelty Detection in Network Traffic: Using Survival Analysis for Feature Identification
Bradley, Taylor
Alhajjar, Elie
Bastian, Nathaniel D.
2023 IEEE INTERNATIONAL CONFERENCE ON ASSURED AUTONOMY, ICAA, 2023, : 11 - 18
[49] A Clustering Analysis Method for Network Traffic Based on Feature Parameter Distribution
Du, Xin
Yang, Yingjie
Kang, Xiaowen
PROCEEDINGS OF THE FIRST INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND COMPUTER SCIENCE, VOL II, 2009, : 423 - 427
[50] An approach for EMC analysis of local communication network
Kontorovich, VY
ELECTROMAGNETIC COMPATIBILITY 1998, 1998, : 166 - 169

← 1 2 3 4 5 →