Design of a Danger Signal Detecting Model Based on Fuzzy-Set

Author

Fu, Haidong ; Zhang, Chunxiang

Author_Institution

Coll. of Comput. Sci. & Technol., Wuhan Univ. of Sci. & Technol., Wuhan, China

fYear

2009

fDate

24-26 Sept. 2009

Firstpage

1

Lastpage

3

Abstract

Acting as a controlling signal to arouse immune responsion, danger signal plays an important part in the danger theory of artificial immune system. An immune-inspired danger single detecting model based on fuzzy-set introduces the concept of fuzzy set and degree of membership. It adopts a fuzzy recognition algorithm to detect danger signal. Besides, it proposes an effective method of intrusion detection model which makes good use of the cooperation of danger signal and non-self recognition. It can effectively reduce false alarm and improve the accuracy of intrusion detection through experimental test.

Keywords

artificial immune systems; fuzzy set theory; pattern recognition; signal detection; artificial immune system; danger signal detecting model; fuzzy recognition algorithm; fuzzy set; immune responsion; immune-inspired danger single detecting model; intrusion detection model; Artificial immune systems; Cells (biology); Computer science; Educational institutions; Fuzzy set theory; Fuzzy sets; Immune system; Intrusion detection; Signal design; Signal detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-3692-7

Electronic_ISBN

978-1-4244-3693-4

Type

conf

DOI

10.1109/WICOM.2009.5302569

Filename

5302569