计算机工程与应用2016，Vol.52Issue(17)：11-15,5.DOI:10.3778/j.issn.1002-8331.1603-0118
基于ACD模型的网络数据流时域微观特性分析
Time domain analysis of micro-characters in network flows using ACD model
徐正国 1郑辉 1邓月华1
作者信息
- 1. 盲信号处理国家科技重点实验室，成都 610041
- 折叠
摘要
Abstract
For distinguishing different kinds of data streams in the network, Autoregressive Conditional Duration(ACD) model is used to analyze the micro-characters of network flows in the time-domain, and the feasibility of the model is tes-tified. One important advantage of ACD model is, without binning the unevenly sampled time series into evenly-spaced, it could obtain the features of network flows in the time-domain directly. Based on the statistical analysis of experimental data sets, the packets’arriving time series in network flows can be fitted in with ACD model, furthermore ACD(2, 1) shows a good performance in modeling network flows of different applications.关键词
自回归条件持续期/网络数据流/非等间隔采样/时间序列Key words
autoregressive conditional duration/network flow/unevenly sampling/time series分类
信息技术与安全科学引用本文复制引用
徐正国,郑辉,邓月华..基于ACD模型的网络数据流时域微观特性分析[J].计算机工程与应用,2016,52(17):11-15,5.
