Research on data mining technologies appling intrusion detection
Zhang Qun, Huang Wen-jie · 2010
Aim of the intrusion detection is to availably detect the intrusion from large stores of data. IDS(Intrusion Detection System) analyses sorts of data resource with data mining techniques to extract useful patterns and rules that could be used to guide the IDS to analyse intrusion. Allowing for characteristics of intrusion detection, a novel approach of mining frequent serial episodes from streams of time series, called TFSE, is proposed. TFSE(Time-table-joined Frequent Serial Episodes) is applied to analyse large stores of data related with time.