预测模型在入侵检测中的应用研究

ON APPLYING PREDICTION MODEL IN INTRUSION DETECTION SYSTEM

针对目前入侵检测技术中预警这一模块效率不高的问题,通过对Pi-sigma模糊神经网络在降水预测中的应用进行分析比较,首先在理论上探讨了将混合型Pi-sigma神经网络预测模型应用于入侵检测技术中的可行性,并通过分析试验数据说明该模型在入侵检测预警模块中能够起到一定的预测作用,从而提高了预警的效率。

In light of low efficiency of pre-warning module in current intrusion detection system, the application of pi-sigma fuzzy neural network in precipitation prediction was analyzed and compared, and theoretical discussion on the feasibility of applying hybrid pi-sigma neural network prediction model to intrusion detection system was described. Then the experimental data was studied which demonstrated that the model has a certain predicting function in intrusion detection pre-warning module, and has improved the pre-warning efficiency.