Title :
Research on data mining technologies appling intrusion detection
Author :
Qun, Zhang ; Wen-jie, Huang
Author_Institution :
Sch. of Comput. Sci., Hubei Univ. of Technol., Wuhan, China
Abstract :
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.
Keywords :
data mining; security of data; time series; IDS analysis; TFSE; data mining techniques; data resource; intrusion detection system; time series; time-table-joined frequent serial episode mining; Barium; Genetics; TFSE; data mining; intrusion detection; time serial pattern;
Conference_Titel :
Emergency Management and Management Sciences (ICEMMS), 2010 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6064-9
DOI :
10.1109/ICEMMS.2010.5563461
