Title :
Research on the application of particle swarm optimization algorithm in anomaly detection
Author :
Jianzhen, Wang ; Jinrong, Su
Author_Institution :
Bus. Coll., Dept. of Inf. Eng., Shanxi Univ., Taiyuan, China
Abstract :
This paper mainly research on the application of the particle swarm optimization algorithm in anomaly detection, including the PSO algorithm combined with clustering method, PSO with neural networks, PSO with support vector machines and a single PSO algorithm. It analyzes the advantages and disadvantages of each algorithm, and presents the development of application of the particle swarm algorithm in anomaly detection research.
Keywords :
neural nets; particle swarm optimisation; pattern clustering; security of data; support vector machines; anomaly detection; clustering method; neural networks; particle swarm optimization algorithm; single PSO algorithm; support vector machines; Algorithm design and analysis; Artificial neural networks; Classification algorithms; Clustering algorithms; Intrusion detection; Particle swarm optimization; Support vector machines; Particle Swarm optimization; Support Vector Machine; anomaly detection; clustering; neural networks;
Conference_Titel :
Computer Science and Education (ICCSE), 2010 5th International Conference on
Conference_Location :
Hefei
Print_ISBN :
978-1-4244-6002-1
DOI :
10.1109/ICCSE.2010.5593574
