DocumentCode
2540018
Title
An Intrusion Detection System Model Based on Particle Swarm Reduction
Author
Hai-Bing, Wang ; De-Sheng, Fu
Author_Institution
Sch. of Comput. & Software, Nanjing Univ. of Inf. & Technol., Nanjing, China
fYear
2010
fDate
13-15 Dec. 2010
Firstpage
383
Lastpage
385
Abstract
A intrusion detection system model based on particle swarm reduction was proposed in this paper. Though the experiment of this model, it turns out that the improved algorithm of quantum particle swarm can get the minimal reduction, improve particle convergence and make particles trapped into local minima more difficult. The algorithm is faster than GA and has a high rate of network intrusion detection.
Keywords
genetic algorithms; particle swarm optimisation; rough set theory; security of data; genetic algorithm; intrusion detection system; local minima; particle convergence; particle swarm reduction; quantum particle swarm; rough set; Algorithm design and analysis; Classification algorithms; Computational modeling; Convergence; Intrusion detection; Particle swarm optimization; Rough sets; Intrusion detection; Particle swarm reduction; Rough set;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
Conference_Location
Shenzhen
Print_ISBN
978-1-4244-8891-9
Electronic_ISBN
978-0-7695-4281-2
Type
conf
DOI
10.1109/ICGEC.2010.101
Filename
5715449
Link To Document