DocumentCode
2690503
Title
Reason for Hierarchical Self Organized Map-Based Intrusion Detection System Incapable of Increasing Detection Rate
Author
Zhenying, Ma
Author_Institution
Coll. of Comput. Sci. & Eng., Chongqing Univ., Chongqing, China
fYear
2009
fDate
16-17 May 2009
Firstpage
150
Lastpage
154
Abstract
When the single-layered self organized map (SOM) is used for anomaly detection, ldquooverlaprdquo exists for five types of samples. The hierarchical SOM system, which increases classification granularity, can not effectively enhance the detection rate. Through analysis to clustering details in the hierarchical SOM system, the reason for a low detection rate of attack was found, and improvement were proposed based on the reason.
Keywords
security of data; self-organising feature maps; anomaly detection; classification granularity; hierarchical self organized map-based intrusion detection system; single-layered self organized map; Computer science; Computer vision; Educational institutions; Electronic commerce; Intrusion detection; Neural networks; Neurons; Spatial databases; Usability; Watches; Hierarchical SOM; Intrusion Detection; Remote to Local attack;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Electronic Commerce, 2009. IEEC '09. International Symposium on
Conference_Location
Ternopil
Print_ISBN
978-0-7695-3686-6
Type
conf
DOI
10.1109/IEEC.2009.36
Filename
5175092
Link To Document