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Design of an Immune-inspired Danger Theory Model Based on Fuzzy Set
- Source :
- 2008 International Symposium on Computational Intelligence and Design.
- Publication Year :
- 2008
- Publisher :
- IEEE, 2008.
-
Abstract
- An immune-inspired danger theory model based on fuzzy set was proposed in this article. In the model the concept of fuzzy set and degree of membership are presented in the foundation of the "danger" definition in artificial immune system. By carrying on the computation to the degree of danger, it makes the organism to apperceive the danger and simultaneously to make a strategy efficiently. It improves the organism to recognize the "danger" effectively, and then enhances the rate of intrusion detection based on the artificial immune model, and reduces the false alarm.
Details
- Database :
- OpenAIRE
- Journal :
- 2008 International Symposium on Computational Intelligence and Design
- Accession number :
- edsair.doi...........2a556972b9de2e05ed81fb473b28ec9c