DocumentCode
402868
Title
An efficient algorithm for frequent pattern in intrusion detection
Author
Li, Qing-hua ; Jia-Jun Xiong ; Yang, Hua-bing
Author_Institution
Coll. of Comput., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume
1
fYear
2003
fDate
2-5 Nov. 2003
Firstpage
138
Abstract
In data mining-based intrusion detection system, we should make use of particular domain knowledge in relation to intrusion detection in order to efficiently extract relative rules from large amounts of audit records. This paper first gives a summary of the basic association rule algorithm and episode rule algorithm, then improves the basic algorithm considering the characteristic of audit records.
Keywords
auditing; data mining; safety systems; association rules; audit records; data mining-based intrusion detection system; episode rule algorithm; frequent pattern; Accidents; Association rules; Computer security; Data mining; Data security; Educational institutions; Intrusion detection; Itemsets; Protection; Transaction databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN
0-7803-8131-9
Type
conf
DOI
10.1109/ICMLC.2003.1264458
Filename
1264458
Link To Document