BP神经网络在入侵检测中的改进设计

The Research of Intrusion Detection Model Based on BP NeuRal Network

在收集到原始数据后,如何对这些数据进行有效分析及报告结果一直是入侵检测领域中研究的重点,并因此形成了多种ID方法。本文提出了一个ID模型,提出了一种改进训练算法,对模型的核心组成部分进行了分析、设计和实现,并进行了相关实验。

It is important how to go on and analyse the data effectively and report outcome in this field after collected primitive data. And according this, it has formed many kinds of ID methods. Based on the above research, this text has proposed a kind of ID model, and proposed a kind of improvements train algorithm. We analysed, designed and realized the key part of the model at last, and carried on the relevant experiment.