Comprehend network situation using time series data mining and time frequency analysis

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 model in the form of a set of rules by applying sample entropy and principal component analysis and piecewise 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.