网络信息安全对攻击风险预测仿真

发布时间：2018-06-06 05:44

本文选题：网络安全 + 网络攻击　；参考：《计算机仿真》2017年11期

【摘要】：对网络攻击风险的预测,能够保障计算机网络的安全稳定运行。对网络攻击风险的预测,需要计算网络安全要素集对节点的机会指数的影响程度,获取网络的各个层的加权函数,完成攻击风险预测。传统方法给出网络安全的融合规则,确定网络攻击风险数据源的融合优先级,但忽略了获取网络的各个层的加权函数,导致预测精度偏低。提出基于能力机会意图的网络信息安全攻击风险预测。该方法先从网络的基础运行性、网络的威胁性、网络的脆弱性来定义网络网络安全的加权融合函数,给出网络安全因子观测值,计算网络安全要素集对节点的机会指数的影响程度,得到网络安全因子的观测值,获取网络的各个层的加权函数,并组建网络信息安全攻击风险预测。实验证明,所提方法建模精度较高,可以为提升计算机网络信息安全等级奠定基础。
[Abstract]:The prediction of network attack risk can ensure the safe and stable operation of computer network. To predict the network attack risk, it is necessary to calculate the influence degree of the network security element set on the opportunity index of the node, obtain the weighting function of each layer of the network, and complete the attack risk prediction. The traditional method gives the fusion rules of network security, determines the fusion priority of network attack risk data source, but neglects to obtain the weighting function of each layer of the network, which results in low prediction accuracy. A network information security attack risk prediction based on capability opportunity intention is proposed. In this method, the weighted fusion function of network security is defined from the basic operation of the network, the threat of the network and the vulnerability of the network, and the network security factor observations are given. The influence degree of the network security element set on the opportunity index of the node is calculated, the observation value of the network security factor is obtained, the weighting function of each layer of the network is obtained, and the risk prediction of network information security attack is established. Experimental results show that the proposed method has high modeling accuracy and can lay a foundation for improving the security level of computer network information.
【作者单位】：银川能源学院滨河校区;
【分类号】：TP393.08

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