Research on Data Mining Technologies Appling Intrusion Detection

摘要：

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.

关键词： intrusion detection data mining time serial pattern TFSE

作者: Zhang Qun Huang Wen-jie

作者单位: School of Computer Science Hubei University of Technology Wuhan, China Network Administration Center Hubei University of Technology Wuhan, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Emergency Management and Management Sciences(2010 IEEE应急管理与管理科学国际会议 ICEMMS)

会议地点: 北京

会议语种:英文

页码: 230-233

在线出版日期: 2010-08-08（万方平台首次上网日期，不代表论文的发表时间）