针对神经网络方法在计算机网络安全评价问题方面存在的不足,提出了一种新的基于支持向量回归机的计算机网络安全评价方法。首先探讨了指标体系构建的原则,进一步建立了计算机网络安全评价指标体系,然后给出了指标的规范化方法并对计算机网络安全等级进行了划分,最后构建了基于支持向量回归机的计算机网络安全评价模型并给出了仿真实例。仿真实例的结果表明,所建立的评价模型具有较强的泛化能力,预测的精度较高。
Since the neural network method has the deficiency in the aspect of computer network security evaluation,a new method of computer network security evaluation based on support vector regression machine is proposed. The principle of the index system construction is discussed to establish the index system of computer network security evaluation. The standardization method of the index is given. The computer network security grade is divided. The computer network security evaluation model based on support vector regression machine was established,and the simulation example was given. The results of simulation example show that the established evaluation model has strong generalization ability and high forecast precision.