DocumentCode
3349682
Title
An improved Grey Self-Organizing Map based DOS detection
Author
CHEN, Rui ; Wei, Jin-Yu ; YU, He-feng
Author_Institution
Dept. of Manage. Sci. & Eng., Tianjin Univ. of Technol., Tianjin
fYear
2008
fDate
21-24 Sept. 2008
Firstpage
497
Lastpage
502
Abstract
In this paper, an improved grey self-organizing map (GSOM) model is proposed and applied in the detection of deny of service (DOS) attack. For detection of the DOS attacks, this improved model can consider the relativity of the data set of DOS attacks. Finally, the experiments on the DOS data set confirm their validities and feasibilities over this improved GSOM model.
Keywords
grey systems; security of data; self-organising feature maps; denial of service; deny-of-service attack detection; grey self-organizing map model; Artificial neural networks; Clustering algorithms; Computer crime; Computer science; Engineering management; Integral equations; Intrusion detection; Neural networks; Neurons; Technology management; Deny of Service (DOS); Gray Correlation Coefficient; Grey Theory; SOM;
fLanguage
English
Publisher
ieee
Conference_Titel
Cybernetics and Intelligent Systems, 2008 IEEE Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-1673-8
Electronic_ISBN
978-1-4244-1674-5
Type
conf
DOI
10.1109/ICCIS.2008.4670765
Filename
4670765
Link To Document