基于神经网络与证据组合推理的入侵检测方法

Intrusion Detection Method Base on Neural Network and Evidence Combinational Reasoning

给出一种智能神经网络与证据组合推理相结合的网络入侵检测方法,将神经网络检测结果认为是"证据",并引入D-S证据理论进行组合推理,为解决连续时间序列入侵行为判别的问题提供了一种新方法,并且能提高入侵检测的判别精度。

Describes an intrusion detection method based on neural network and evidence combinational reasoning. The detection result of neural-network's detection is considered as evidence.Introduces D-S evidence theory to do combinational reasoning. It provides a new method for effective solving the detection of continuous intrusion conduct. Moreover it can enhance the detection precision of intrusion detection.