DocumentCode :
3503573
Title :
The Research on the Application of Association Rules Mining Algorithm in Network Intrusion Detection
Author :
Changguo, Ye ; Nianzhong, Wei ; Tailei, Wang ; Qin, Zhang ; Xiaorong, Zhu
Author_Institution :
Dept. of Inf. Sci. & Technol., Taishan Coll., Taian
Volume :
2
fYear :
2009
fDate :
7-8 March 2009
Firstpage :
849
Lastpage :
852
Abstract :
Network intrusion detection system (IDS), as the main security defending technique, is second guard for a network after firewall. Since it can discern and respond to the hostile behavior of the computer and network resource, it is a hot area for research network security nowadays. Data mining technology is applied to the network intrusion detection, and Precision of the detection will be improved by the superiority of data mining. In this paper, there is an example running to contract two algorithms. The result is that the fuzzy rule mining algorithm is more convenient than a priori algorithm to mine mass network log database.
Keywords :
authorisation; data mining; fuzzy set theory; a priori algorithm; association rules mining algorithm; data mining technology; firewall; fuzzy rule mining algorithm; mass network log database; network intrusion detection; Association rules; Computer hacking; Computer security; Data mining; Databases; Educational institutions; Educational technology; Information science; Intrusion detection; Safety; algorithm; association rule; data mining; intrusion detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
Type :
conf
DOI :
10.1109/ETCS.2009.451
Filename :
4959165
Link To Document :
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