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
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;
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
DOI :
10.1109/WICOM.2009.5301983
