DocumentCode :
3014794
Title :
A Research on the Function Relationships in the Modularization Immunity Neural Network Model
Author :
Hou, Jiali ; Feng, Nengshan
Author_Institution :
Dept of Comput. Coll., Dongguan Univ. of Technol., Dongguan, China
Volume :
2
fYear :
2009
fDate :
11-14 Dec. 2009
Firstpage :
177
Lastpage :
181
Abstract :
The modularization immunity neural network model is an intelligent solution to network security, but the function relationships among the neural network, immune algorithm and genetic algorithm in the model. By following biological mechanism, this paper builds up interaction functions and function systems among all the parts in the model, which leads to the organic combination among the neural network, immune algorithm and genetic algorithm and makes them effectively be used in network security. This provides visiting control, computer virus disposal and computer security environment with theoretical foundation, ensuring the sound operation of network security program .
Keywords :
computer network security; computer viruses; genetic algorithms; neural nets; biological mechanism; computer security environment; computer virus disposal; function relationships; genetic algorithm; immune algorithm; modularization immunity neural network model; network security; organic combination; visiting control; Biological system modeling; Biology computing; Computer networks; Computer security; Educational institutions; Genetic algorithms; Immune system; Intelligent networks; Neural networks; Signal design; function relationship; modularization immunity neural network model; network data security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security, 2009. CIS '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5411-2
Type :
conf
DOI :
10.1109/CIS.2009.229
Filename :
5376007
Link To Document :
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