DocumentCode :
228909
Title :
A taxonomy on intrusion alert aggregation techniques
Author :
Ahmed, Toufik ; Siraj, Maheyzah Md ; Zainal, Anazida ; Mat Din, Mazura
Author_Institution :
Inf. Assurance & Security Res. Group, Univ. Teknol. Malaysia, Skudai, Malaysia
fYear :
2014
fDate :
26-27 Aug. 2014
Firstpage :
244
Lastpage :
249
Abstract :
As security threats advance in a drastic way, most of the organizations apply various intrusion detection systems (IDSs) to optimize detection and to provide comprehensive view of intrusion activities. But IDS produces huge number of duplicated alerts information that overwhelm security operator. Alert aggregation addresses this issue by reducing, fusing and clustering the alerts. Techniques from a different scope of disciplines have been proposed by researchers for different aspects of aggregation. In this paper we present a comprehensive review on proposed alert aggregation techniques. Our main contribution is to classify the literature based on the techniques applied to aggregate the alerts.
Keywords :
computer crime; pattern clustering; IDS; alert clustering; alert fusing; alert reducing; duplicated alerts information; intrusion activities; intrusion alert aggregation techniques; intrusion detection systems; organizations; security operator; security threats; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Genetic algorithms; Partitioning algorithms; Security; Taxonomy; IDS; alert aggregation; clustering; taxonomy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biometrics and Security Technologies (ISBAST), 2014 International Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4799-6443-7
Type :
conf
DOI :
10.1109/ISBAST.2014.7013129
Filename :
7013129
Link To Document :
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