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