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
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;
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
DOI :
10.1109/ICGEC.2010.101
