Detection of Network Traffic Anomaly Based on Instantaneous Parameters Analysis

Author

Yao, Xingmiao ; Zhang, Peng ; Gao, Jie ; Hu, Guangmin

Author_Institution

Key Lab. of Brodband Opt. Fiber Transm. & Commun. Networks, Univ. of Electron. Sci. & Technol. of China, Chengdu

fYear

2006

fDate

27-30 Nov. 2006

Firstpage

1

Lastpage

4

Abstract

Identifying network traffic anomalies accurately and rapidly is critical to the efficient operation of any network. In this paper, a new algorithm is proposed based on instantaneous parameters (instantaneous frequency and Instantaneous amplitude) analysis. The characteristic of traffic anomaly would be revealed more evidently through analyzing the instantaneous parameters of the original network flow data. The simulation shows that the proposed algorithm can identify network traffic anomaly effectively.

Keywords

telecommunication traffic; instantaneous parameters analysis; network traffic detection; original network flow data; Analysis of variance; Communication networks; Fourier transforms; Frequency domain analysis; Optical fibers; Signal analysis; Signal processing; Switches; Telecommunication traffic; Traffic control; instantaneous parameter; network traffic anomaly detection; sliding window; variance ratio analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Technology, 2006. ICCT '06. International Conference on

Conference_Location

Guilin

Print_ISBN

1-4244-0800-8

Electronic_ISBN

1-4244-0801-6

Type

conf

DOI

10.1109/ICCT.2006.341860

Filename

4146461