云计算环境下的网络安全估计模型态势仿真

发布时间：2019-01-19 17:36

【摘要】：在云计算环境下,传统方法采用终端网络监测方法进行网络安全估计,由于网络通信信道终端功率衰减性强,导致安全态势估计精度不高,检测性能不好。提出一种基于自适应数据分类和病毒感染隶属度特征提取的云计算环境下网络安全估计及态势预测算法。构建云计算环境下的网络安全估计模型,采用自适应数据分类算法对网络攻击信息数据进行聚类评估,提取网络攻击病毒数据的感染隶属度特征,实现网络安全态势预测和病毒攻击检测。仿真实验表明,该算法对病毒数据流预测精度较高,实现不同场景下的网络病毒流预测和数据检测,提高了云计算环境下网络抵御病毒攻击的能力。
[Abstract]:In cloud computing environment, the traditional method of terminal network monitoring is used to estimate network security. Because of the strong power attenuation of network communication channel, the accuracy of security situation estimation is not high and the detection performance is poor. An algorithm for network security estimation and situation prediction in cloud computing environment based on adaptive data classification and virus infection membership feature extraction is proposed. The network security estimation model in cloud computing environment is constructed, and the adaptive data classification algorithm is used to cluster and evaluate the network attack information data, and extract the infection membership characteristics of the network attack virus data. Network security situation prediction and virus attack detection are realized. The simulation results show that the proposed algorithm has high prediction accuracy for virus data flow, and realizes network virus flow prediction and data detection in different scenarios, and improves the ability of network to resist virus attack in cloud computing environment.
【作者单位】：成都航空职业技术学院计算机工程系;
【基金】：四川省自然科学重点项目:云计算在信息化建设中的应用研究(15ZA0399)
【分类号】：TP393.08

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