DocumentCode
1957950
Title
Study of database intrusion detection based on improved association rule algorithm
Author
Yanyan, Zhang ; Yuan, Yao
Author_Institution
Dept. of Comput. Sci. & Eng., Henan Univ. of Urban Constr., Pingdingshan, China
Volume
4
fYear
2010
fDate
9-11 July 2010
Firstpage
673
Lastpage
676
Abstract
Combining with the data mining application in database intrusion detection, for the most representative association rule Apriori algorithm in the data mining technology, this paper presents an improved association rule algorithm, based on which constructs a database intrusion detection system on the basis of association rules, and carries out a small range test. Experimental results show that the system can greatly improve the efficiency of the entire intrusion detection process.
Keywords
data mining; database management systems; security of data; association rule algorithm; data mining application; database intrusion detection; Databases; Intrusion detection; Apriori algorithm; association rules; data mining; database intrusion detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5565031
Filename
5565031
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