DocumentCode
2967195
Title
The Analysis of Event Correlation in Security Operations Center
Author
Zhang, Deyang ; Zhang, Dedong
Author_Institution
Sch. of Inf. & Electron. Eng., Hebei Univ. of Eng., Handan, China
Volume
2
fYear
2011
fDate
28-29 March 2011
Firstpage
1214
Lastpage
1216
Abstract
Many security events occur in computer networks and most of them are not isolated. In other words, there are many relationships among the events that are called redundancy relationship or causality. As the events are massive, correlation analysis is very important. This paper analyzes the current algorithm of event correlation and proposes a security events correlation method. This method unifies the security events from different security equipments and sorts them firstly, then combines the security events by the similarity, finally extracts correlation rules among security events utilizing data mining. It can decrease the number of alert, reduce false alert and discover high-level attack strategies.
Keywords
computer network security; data mining; computer networks; data mining; event correlation analysis; high-level attack strategies; redundancy causality; redundancy relationship; security events correlation method; security operations center; Computer architecture; Correlation; Data mining; IP networks; Intrusion detection; Redundancy; Correlation Analysis; Correlation Rules; Security Operations Center; Similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location
Shenzhen, Guangdong
Print_ISBN
978-1-61284-289-9
Type
conf
DOI
10.1109/ICICTA.2011.584
Filename
5751113
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