基于BP神经网络的网络安全评价方法研究

Researches on the Evaluation Methods of Network Security Based on BP Neural Network

阐述了BP神经网络的基本理论、算法、缺陷及改进方法,在遵循BP网络建模基本原则和步骤的情况下,建立了可靠、有效的网络安全综合评价模型。通过实例对网络安全进行研究,选择合适的学习样本及参数进行训练,并获得较好的评价结果,评价结果客观、正确,计算结果贴近成功案例结果。

First, this paper introduced the basic theories, algorithms and detects of BP Neural Network. Complying with the basic principles and steps for establishing BP -model, it established reliable and effective network security comprehensive evaluation model. Through network security case studying, appropriate training set data and parameters selection, better evaluation results have been achieved. The evaluation results are impersonal and correct, pressing close to the results of the successful cases.