网络生存性评估模型的仿真分析

Simulation Analysis of Network Survivability Assessment Model

在准确评估网络性能的研究中,网络生存性是指在网络遭受攻击、故障或意外事故时,网络能够及时完成关键任务的能力。传统的评估方法,在面对随机攻击的情况下,设定的网络指标权重主观性较强,且难以适应时刻变化的网络环境造成评估不准。为了避免传统算法的缺陷,提出了一种卡尔曼滤波网络生存性评估方法。对网络资源进行区域划分,将网络分割为不同的子区域,分别对子区域进行计算,从而降低网络生存性评估计算的复杂度。利用卡尔曼滤波方法,建立网络生存性评估模型,从而完成网络生存性评估。实验结果表明,利用改进算法建立网络生存性评估模型,能够提高网络评估模型的适应性,从而有效提高了评估模型在不同网络环境下的评估能力。

Research the accurate evaluation method of network survivability.In order to avoid the defects of traditional algorithm,the paper proposed a network survivability evaluation method based on Kalman filtering algorithm.The network resources were divided into different areas and the sub areas were calculated respectively to reduce the complexity of the network survivability evaluation calculation.Using Kalman filtering method,network survivability evaluation model was established,so as to complete the network survivability evaluation.Experimental results show that the algorithm can enhance the adaptability of evaluation model,thus effectively improve the assessment model in different assessment of the ability under the network environment.