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
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;
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
DOI :
10.1109/ICCIS.2008.4670765
