DocumentCode :
1896109
Title :
Definition Method of Danger Signal Based on Genetic Optimization
Author :
Fu Hai-Dong ; Li Gui-Feng
Author_Institution :
Coll. of Comput. Sci. & Technol., Wuhan Univ. of Sci. & Technol., Wuhan, China
Volume :
1
fYear :
2009
fDate :
10-11 Oct. 2009
Firstpage :
310
Lastpage :
313
Abstract :
It explored the most important problems needed to be resolved about the danger theory applied to artificial immune systems, which is the definition of danger. It was based on the concept of genetic optimization, an optimized algorithm was proposed, and then the definition methods of danger signals were given. After that, the danger was determined according to the changes of different variables which were represented the danger signals in computer system, and then the danger was defined at last. Finally, the two levels immune alarm response model was presented. The definition method of danger signal is more stable, robust, efficient and feasible.
Keywords :
genetic algorithms; security of data; artificial immune systems; danger signal; genetic optimization; immune alarm response model; Artificial immune systems; Biology computing; Computer hacking; Computer science; Educational institutions; Genetics; Immune system; Intrusion detection; Optimization methods; Robustness; artificial immune; danger definition; danger theory; genetic optimization; intrusion detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
Type :
conf
DOI :
10.1109/ICICTA.2009.82
Filename :
5287648
Link To Document :
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