Title :
The Research of Intrusion Detection Technology Based on Genetic Algorithms
Author :
Zhongmin, Chen ; Sheng, Xu ; Jianyuan, Feng ; Renzuo, Xu
Author_Institution :
Coll. of Sci., Huazhong Agric. Univ., Wuhan
Abstract :
In this paper, the training algorithm model based on abnormity detection is given, the constructing process of genetic algorithms has been discussed in detail, including the constructing, choosing, crossing and mutating of chromosome. As a result, the efficiency of intrusion detection has been increased and some unknown attacks have been checked with the algorithms.
Keywords :
genetic algorithms; security of data; abnormity detection; chromosome choosing; chromosome construction; chromosome crossing; chromosome mutation; genetic algorithms; intrusion detection; training algorithm model; Algorithm design and analysis; Biological cells; Computer networks; Genetic algorithms; Information security; Intrusion detection; Laboratories; Packaging; Statistics; Training data; Genetic Algorithms; Intrusion Training Algorithms; Intrusion detection;
Conference_Titel :
Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-4223-2
DOI :
10.1109/NSWCTC.2009.188
