摘要
提出了一种融合粗糙集与神经网络的入侵检测方法。首先用粗糙集约简属性、简化神经网络设计,然后通过神经网络进行入侵检测。实验结果表明该方法优于其他同类方法。
This paper proposes an intrusion detection method based on rough set and neural network.Firstly,the at-tributes are reduced using rough set and neural network design is simplified.Then,intrusion detection is performed by using neural network.Finally,experimental results shows that this method is better than other methods.
出处
《计算机工程与应用》
CSCD
北大核心
2004年第20期143-145,共3页
Computer Engineering and Applications
基金
四川省教委自然重点科研项目(编号:0129844)
关键词
粗糙集
神经网络
入侵检测
rough set,Neural Network,intrusion detection
