关键词: 遗传算法BP神经网络 攻击检测

Abstract:

In order to avoid the shortcomings of back-propagation neural networks which converge slowly and goes easily into the local minimum, the paper uses th  e global search capabilities of genetic algorithms to optimize the back-propagation neural network weights,proposes a genetic back-propagation neural ne twork algorithm, and applies it to anomaly detection. Based on the analysis the KDDCUP＇99 attack data and reduction features,the parameters of the algo   orithm are set. The experimental results show the proposed algorithm can study the anomaly detection model more quickly than the back-propagation neural  network algorithm.

Key words: genitic algorithm, back-propagation neural network, anomaly detection