基于Elman改进的Snort网络入侵检测软件

Improved Snort Network Intrusion Detection Software Based on Elman

文中基于人工神经网络(ArtificialNeuralNetwork,ANN)改进了SnortIDS。通过人工神经网络工具训练样本集,将训练成功的ANN集成到Snort的预处理器中,优化了Snort攻击检测。经实验验证,改进后的SnortIDS能检测到规则库以外的攻击行为,有效检测多种入侵行为。

In this paper,Snort IDS is improved based on artificial neural networks(ANN).The successfully trained ANN is integrated into the Snort preprocessor through the training sample set of artificial neural networks tools,and the Snort attack detection is optimized.Experiments have verified that the improved Snort IDS can detect attack behaviors outside the rule base and effectively detect various intrusion behaviors.