DocumentCode
2098313
Title
The Research of NIDS Based on Improved GA
Author
Qiao Pei-li ; Chen Shi-Feng ; Su Jie
Author_Institution
Dept. Comput. Sci. & Technol., Harbin Univ. of Sci. & Technol., Harbin, China
fYear
2009
fDate
24-26 Sept. 2009
Firstpage
1
Lastpage
4
Abstract
To settle the problems in existing intrusion detection systems, this paper researches the application of genetic algorithms in intrusion detection system, discusses the fitness function structure, and improves population choice and selection operator and crossover operator and mutation operator. We propose an intrusion detection model based on improved genetic algorithm and proves it´s feasible by experiments.
Keywords
genetic algorithms; security of data; crossover operator; fitness function structure; genetic algorithms; mutation operator; network intrusion detection system; selection operator; Application software; Binary codes; Biological system modeling; Computer science; Decoding; Evolution (biology); Genetic algorithms; Genetic mutations; Intrusion detection; Reflective binary codes;
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.2009.5301983
Filename
5301983
Link To Document