Design and Implementation of Intrusion Detection Classifier Based on Rough Sets and Neural Network
Dou Bing-lin · Journal of Tangshan College · 2007
The design of classifier is the most important part in intrusion detection system.A new neural network classifier model is proposed based on rough sets and the structure is optimized by the use of rough sets in neural network that can get rid of the redundant attributes by still maintaining the precision of intrusion detection system.The result shows that the model can guaranttee the veracity of system detection and has some practicability.