Application of Multi Neural Network Model Based on Fuzzy Integral in Intrusion Detection
Ruizhong Du · Journal of Hebei University · 2008
Depend on neural networks application IDS can handle incomplete inputting information,can at the same time recognize new detecting behaviors,parallel computing and memory property can within shorter time find intrusion behavior. For improving single neural network intrusion detecting function in IDS,a multi neural networks fusion model MNNF based fuzzy integral has been proposed.Adopt KDD99 to be the experiment data,the experiment indicates that the MNNF model has fairly good intrusion detection performance.