关键词: 入侵检测, Boosting方法, BP神经网络

Abstract: A novel method is proposed for intrusion detection based on improved boosting BP neural network.In order to improve the precision of the BP neural network for intrusion detection，the improved boosting algorithm is used to build an integration-neural network.The improved boosting adopts a new method to acquire parameters; the weighted parameters of weak classifiers are determined not only by the error rates，but also by their abilities to recognize the positive samples.Simulated experiments with KDD Cup 1999 network connections data which have been preprocessed with methods of features selection and normalization have shown that the proposed 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, BP neural network