| 季节时间序列法在IP网异常流量检测的应用 |
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| 引用本文： | 曾国鉴,鲁士文,王卫东. 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. DOI: 10.3778/j.issn.1002-8331.2008.07.044 |
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| 作者姓名： | 曾国鉴 鲁士文 王卫东 |
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| 作者单位： | 中国科学院研究生院,北京,100039;中国科学院计算技术研究所,北京,100080;中联绿盟信息技术,北京,有限公司,北京,100089 |
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| 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。
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| 关 键 词： | IP骨干网 Netflow Dos/DDos 异常检测 |
| 文章编号： | 1002-8331（2008）07-0144-04 |
| 收稿时间： | 2007-11-15 |
| 修稿时间： | 2008-01-31 |
Anomaly detection application on IP backbone using time series forecast |
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| ZENG Guo-jian,LU Shi-wen,WANG Wei-dong. Anomaly detection application on IP backbone using time series forecast[J]. Computer Engineering and Applications, 2008, 44(7): 144-147. DOI: 10.3778/j.issn.1002-8331.2008.07.044 |
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| Authors: | ZENG Guo-jian LU Shi-wen WANG Wei-dong |
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| Affiliation: | 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 |
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| 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. |
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| Keywords: | IP backbone Netflow Dos/DDos anomaly detection |
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