关键词: 入侵检测, Boosting方法, RBF神经网络, 正交最小二乘法

Abstract: A novel method is proposed for intrusion detection based on improved boosting RBF neural network.By combining fuzzy clustering and neural network，this paper puts forward an FORBF algorithm based on improved FCM and OLS.In order to improve the precision of the RBF neural network for intrusion detection，the improved boosting algorithm is used to build an integration-neural network.Simulated experiments with KDD Cup 1999 network connections data have shown that the proposed method is effective for intrusion detection owing to excellent performance of the higher attack detection rate with lower false positive rate.

Key words: intrusion detection, Boosting method, RBF neural network, orthogonal least squares