摘要
针对模糊C均值算法(FCM)对初始值敏感以及容易收敛于局部极小点的缺陷,将遗传算法应用于FCM算法的优化设计中。先将FCM的结果送遗传算法优化,得到的结果再次运用FCM聚类,取得全局最优点。实验结果表明该算法可以有效地检测特定对象异常入侵行为,且检测度优于FCM算法,可以有选择地收敛到全局最优点及较快的收敛速度。
Regarding the problem that fuzzy c-means algorithm(FCM) was sensitive to the initial value and converging to the local infinitesimal point easily, applies genetic algorithm to optimization of the FCM algorithm.Firstly, the results of FCM will be sent to the genetic algorithm for optimization, then the new results again used in FCM to obtain the most advantage of the overall situation.The experimental result shows that the algorithm can effectively detect anomaly intrusions behavior of special target and be better than FCM algorithm, and have a strong global optimization and faster convergence speed.
出处
《通信学报》
EI
CSCD
北大核心
2009年第S2期140-145,共6页
Journal on Communications
基金
福建省科技厅专项基金资助项目(2007F5071)~~
关键词
入侵检测
模糊C均值
遗传算法
全局寻优
intrusion detection
fuzzy C-means
genetic algorithm
global optimization
