Research of the Intrusion Detection Approach Based on the Split -Assembly BP Neural Network

摘要

This paper describes a new intrusion detection approach based on the split and assembly of the neural network. The approach pre-treats the feature data and employs the capability of learning and quick classification that improves arithmetic, achieving the effect of detecting users' behaviors. In particular, the approach gains good performances in recognizing the unknown attacks, which hasn't been noticed before.