Comprehend Network Situation Using Time Series Data Mining and Time Frequency Analysis

摘要：

In this paper,we propose a network situation comprehension method using multiple time series data mining and time frequency analysis method.This method automatically constructs a system behavior modeIjn the form of a set of rules by applying sample entropy and principal component analysis and plecewlse aggregate approximation and symbolic aggregate approximation and time frequency analysis and association rule mining to the time series data obtained from backbone router,then comprehends current network security situation by checking the subsequence on-line data with the acquired rules.

关键词： Network Situation Comprehension Time Series Data Mining Time Frequency Analysis

作者: Weisong He Guangmin Hu Guangyuan Kan

会议类型: 国际会议

会议名称: The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)

会议地点: 成都

会议语种:英文

页码: 1053-1056

在线出版日期: 2007-12-19（万方平台首次上网日期，不代表论文的发表时间）