基于历史数据分析的容器云安全风险评估方法
2022,30(11):265-271
摘要：容器云受到风险攻击会影响运维性能，无法有效保护内部存储的隐私数据安全。为了准确判断风险攻击类型，最大程度保证用户隐私数据安全，提出基于历史数据分析的容器云安全风险评估方法。根据云计算安全标准，对容器云风险等级进行分类；利用粗糙集算法挖掘容器云历史数据中的风险因素，获得风险因素归约集合；根据容器云的运行特点，通过德尔菲方法和决策隶属度矩阵计算安全风险权重。根据各风险间存在关联性，整合整体风险评估值，实现容器云安全风险评估。实验结果表明，该方法可以有效评估容器云安全风险，且评估结果较为准确，为用户保证隐私数据安全提供参考。
关键词：历史数据分析;数据挖掘;容器云安全;数据安全;风险评估
Container cloud security risk assessment method based on historical data analysis
Abstract：The risk attack on the container cloud will affect the operation and maintenance performance, and cannot effectively protect the internal stored privacy data security. In order to timely intercept the risk attack, the container cloud security risk assessment method based on historical data analysis is proposed.Classify container cloud risk level according to cloud computing security standards; excavate the risk factors in container cloud historical data using rough set algorithm to calculate the security risk weight through Delphi method and container cloud according to the operation characteristics of decision membership matrix.Based on the correlation between each risk, integrate the overall risk assessment value, so as to realize the container cloud security risk assessment. The experimental results show that the proposed method can effectively evaluate the container cloud security risk, and the evaluation results are more accurate to ensure the security of user privacy data.
Key words：Historical data analysis; Data mining; Container cloud security; Data security; Risk assessment
收稿日期：2022-06-24
基金项目：历史数据分析；数据挖掘；容器云安全；数据安全；风险评估
