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2008 International Symposium on Computational Intelligence and Design
Design of an Immune-inspired Danger Theory Model Based on Fuzzy Set
October 17-October 18
ISBN: 978-0-7695-3311-7
| ASCII Text | x | ||
| Fu Hai-Dong, Li Gui-Feng, "Design of an Immune-inspired Danger Theory Model Based on Fuzzy Set," Computational Intelligence and Design, International Symposium on, vol. 1, pp. 133-136, 2008 International Symposium on Computational Intelligence and Design, 2008. | |||
| BibTex | x | ||
| @article{ 10.1109/ISCID.2008.97, author = {Fu Hai-Dong and Li Gui-Feng}, title = {Design of an Immune-inspired Danger Theory Model Based on Fuzzy Set}, journal ={Computational Intelligence and Design, International Symposium on}, volume = {1}, year = {2008}, isbn = {978-0-7695-3311-7}, pages = {133-136}, doi = {http://doi.ieeecomputersociety.org/10.1109/ISCID.2008.97}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Computational Intelligence and Design, International Symposium on TI - Design of an Immune-inspired Danger Theory Model Based on Fuzzy Set SN - 978-0-7695-3311-7 SP133 EP136 A1 - Fu Hai-Dong, A1 - Li Gui-Feng, PY - 2008 KW - artificial immune KW - danger theory KW - fuzzy set KW - intrusion detection KW - degree of membership VL - 1 JA - Computational Intelligence and Design, International Symposium on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISCID.2008.97
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.
Index Terms:
artificial immune, danger theory, fuzzy set, intrusion detection, degree of membership
Citation:
Fu Hai-Dong, Li Gui-Feng, "Design of an Immune-inspired Danger Theory Model Based on Fuzzy Set," iscid, vol. 1, pp.133-136, 2008 International Symposium on Computational Intelligence and Design, 2008
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