Title :
Intrusion detection based on ant colony algorithm of fuzzy clustering
Author :
Li, Wei Song ; Bai, Xiao Ming ; Duan, Long Zhen ; Zhang, Xu
Author_Institution :
NanChang Univ., Nanchang, China
Abstract :
An intrusion detection method based on ant colony fuzzy clustering was proposed, The algorithm uses ant colony algorithm is a strong ability to deal with local minima, it better than random selected cluster centers cause iterative process into a local optimal solution, dynamically determine the number and center of clusters.
Keywords :
ant colony optimisation; fuzzy set theory; iterative methods; pattern clustering; security of data; ant colony algorithm; ant colony fuzzy clustering; intrusion detection; iterative process; Adaptation models; Databases; Fuzzy C-means clustering; ant colony algorithm; intrusion detection; optimization;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
DOI :
10.1109/ICCSNT.2011.6182281
