基于云模型的网络风险评估技术研究

An Evaluation Model For Network Risk Based on Cloud Theory

在网络安全问题的研究中,由于网络入侵行为具有不确定性(模糊性和随机性),云模型把模糊性和随机性有效集成在一起。为保护网络的安全性,提出了一种基于云模型的网络风险评估方法。给出了形式化描述及评估过程,并提出了一种改进的逆向云生成算法。模型通过对系统资源监控,并对得到的数据进行处理,然后输入到云控制器,云控制器根据设定的规则做出评估结果。实验结果表明了方法可以有效评估网络的风险等级,最大限度的保留了评估过程中固有的不确定性,比传统基于模糊集理论的评估方法具有更高的可信度,提高了评估结果的科学性和准确性。

Network intrusion has the features of randomness and uncertainty,cloud theory integrate the fuzziness and randomness perfectly.A evaluation model for network risk was proposed based on cloud theory.the model monitor the system resources and process the achieved data,then the data was input into the cloud controls,the evaluation result was achieved finally.The experimental results show that the methods can evaluate the network risk efficiently.It hold the uncertainty of evaluation process and improved the reliability of the result.