Anomaly detection application on IP backbone using time series forecast

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (7): 144-147.

• 网络、通信与安全 • Previous Articles Next Articles

Anomaly detection application on IP backbone using time series forecast

ZENG Guo-jian¹,LU Shi-wen²,WANG Wei-dong³

1.Graduate School，Chinese Academy of Sciences，Beijing 100039，China
2.Institute of Computing Technology，Chinese Academy of Sciences，Beijing 100080，China
3.NSFOCUS Information Technology Co.，Ltd.，Beijing 100089，China

Received:2007-11-15 Revised:2008-01-31 Online:2008-03-01 Published:2008-03-01
Contact: ZENG Guo-jian

季节时间序列法在IP网异常流量检测的应用

曾国鉴¹,鲁士文²,王卫东³

1.中国科学院研究生院，北京 100039
2.中国科学院计算技术研究所，北京 100080
3.中联绿盟信息技术（北京）有限公司，北京 100089

通讯作者: 曾国鉴

Abstract

Abstract: An approach，using Netflow technology，to model service traffic and anomaly detection on IP backbone in the perspective of periodic traffic feature is proposed.This method avoids the difficulty to model the uncertainty and nonlinear facts in traffic data and provides more accurate information than the thresholds-based detection method.

摘要： 针对TCP/IP骨干网，利用NetFlow技术，提出一种基于业务流量周期规律特性的建模与异常检测方法。该方法通过挖掘骨干网主要业务流量的规律性，结合时间序列分析方法，有效地预测流量的变化趋势，避免了对复杂的流量非线性趋势进行建模分析。

ZENG Guo-jian¹,LU Shi-wen²,WANG Wei-dong³. Anomaly detection application on IP backbone using time series forecast[J]. Computer Engineering and Applications, 2008, 44(7): 144-147.

曾国鉴¹,鲁士文²,王卫东³. 季节时间序列法在IP网异常流量检测的应用[J]. 计算机工程与应用, 2008, 44(7): 144-147.

Anomaly detection application on IP backbone using time series forecast

季节时间序列法在IP网异常流量检测的应用

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