DocumentCode :
2284612
Title :
Research on computer network security based on pattern recognition
Author :
Zhou, Lianying ; Liu, Feogyu
Author_Institution :
Dept. of Telecommun. Eng., Jiangsu Univ., Zhenjiang, China
Volume :
2
fYear :
2003
fDate :
5-8 Oct. 2003
Firstpage :
1278
Abstract :
The major reason for unsatisfied security is that the current network techniques are mainly based on the trade-off among security, convenience and performance. Namely it is impossible to reach the perfection. The latest advances on modern biology immune evolution theory reveal that the key of consummate nature immune mechanism is pathogens recognition based pattern. The basic benefit of pattern recognition to immune system is: what is called ´pattern´ is just ´sort´, The comparison and recognition based on a sort is certainly more efficient and less wasting than that based on the members of a sort. As all known, the computer network security system is very similar in functionality to the nature immune system. This article tries to apply the pattern recognition mechanism to the computer network security. the applications of multivariate statistical analysis and genetic algorithm in the implement algorithm of security system are mainly discussed in the article.
Keywords :
computer networks; genetic algorithms; pattern recognition; statistical analysis; telecommunication security; computer network security system; consummate nature immune mechanism; genetic algorithm; implement algorithm; modern biology immune evolution theory; multivariate statistical analysis; nature immune system; pathogens recognition; pattern recognition mechanism; Application software; Computer networks; Computer security; Evolution (biology); Genetics; Immune system; Pathogens; Pattern recognition; Statistical analysis; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2003. IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-7952-7
Type :
conf
DOI :
10.1109/ICSMC.2003.1244587
Filename :
1244587
Link To Document :
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