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
Link To Document :
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