| 网络异常点检测中性能指标阈值的动态确定方法 |
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| 引用本文： | 于艳华,宋美娜,张文婷,宋俊德.网络异常点检测中性能指标阈值的动态确定方法[J].北京邮电大学学报,2011,34(2):45-49. |
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| 作者姓名： | 于艳华 宋美娜 张文婷 宋俊德 |
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| 作者单位： | 北京邮电大学计算机学院,北京,100876;北京邮电大学计算机学院,北京,100876;北京邮电大学计算机学院,北京,100876;北京邮电大学计算机学院,北京,100876 |
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| 基金项目： | 国家“十一五”科技支撑项目(2008BAH24B04); 国家自然科学基金项目(61072060); 中央高校基本科研业务费专项资金项目 |
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| 摘 要： | 通过检测代表性能降质的异常点来实现故障的提前发现和快速恢复是提高通信网的可靠性的重要手段. 采用基于统计假设检验的网络异常点检测方法，提出一种综合运用季节累积自回归滑动平均模型时间序列预测和置信区间计算来动态获取性能指标阈值的方法. 利用累积自回归滑动平均模型在训练集上的拟合残差白噪声符合正态分布的假设，给出了一种通过构造满足t分布的随机变量来计算预测值在任意置信度1－α下置信区间的新算法. 理论分析和实验结果表明，该阈值动态确定方法有效.
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| 关 键 词： | 异常点检测 时间序列预测 季节累积自回归滑动平均模型 置信区间 |
| 收稿时间： | 2010-04-23 |
A Dynamic Compuation Approach to Determining the Threshold in Network Anomaly Detection |
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| YU Yan-hua,SONG Mei-na,ZHANG Wen-ting,SONG Jun-de.A Dynamic Compuation Approach to Determining the Threshold in Network Anomaly Detection[J].Journal of Beijing University of Posts and Telecommunications,2011,34(2):45-49. |
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| Authors: | YU Yan-hua SONG Mei-na ZHANG Wen-ting SONG Jun-de |
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| Affiliation: | YU Yan-hua,SONG Mei-na,ZHANG Wen-ting,SONG Jun-de(School of Computer Science,Beijing University of Posts and Telecommunications,Beijing 100876,China) |
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| Abstract: | Fault correction by detecting anomalies designating performance degradation is an important approach to improving the reliability of communication network.Statistical hypotheses testing approach is employed to detect network anomaly.A new approach to acquiring the fluctuation threshold is proposed comprehensively when taking advantage of time series prediction confidence interval computation based on multiplicative autoregressive integrated moving average.Furthermore,under the assumption that the training r... |
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| Keywords: | anomaly detection time series prediction seasonal autorgressive integrated moving average confidence interval |
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