Validity Analysis of Hurst Parameter-based Traffic Anomaly Detection

摘要：

This paper focuses on the validity analysis of Hurst parameter-based self-similar network traffic anomaly detection method. Simulation results demonstrate that the anomaly detection validity depends on the difference of self-similarity between the abnormal and normal network traffic when the Hurst parameter of self-similar traffic is applied to detect network traffic anomalies.

关键词： Hurst parameter network traffic anomaly detection validity analysis

作者: Taijun Wang Yuming Mao Qin Yu Huafeng He

作者单位: School of Communication and Information Engineering,University of Electronic Science and Technology School of Communication and Information Engineering,University of Electronic Science and Technology Communication Department of Sichuan Military,Chengdu Sichuan,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 292-296

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）