基于粗糙集差别矩阵的云安全评估指标约简

Reduction of Security Assessment Indexes for Cloud Computing based on Differential Matrix of Rough Set Theory

在云计算安全风险评估中,评估指标体系的庞大、繁琐不利于后续工作的开展。为此,基于GBT31168-2014指标体系架构,采用理论与实践相结合的方式,提出了利用粗糙集差别矩阵的属性约简功能对相关指标进行优化。实践表明,原指标体系中的35个二级指标经过属性约简后减少了7个指标,优化后的指标体系保留了原有的核心指标,一定程度上简化了云计算安全评估工作量,提高了工作效率,同时体现了差别矩阵属性约简在云计算安全评估中的有效性。

In cloud computing security risk assessment,a large and cumbersome evaluation index system is not conducive to the follow-up work.For this reason,based on the GBT31168-2014 index system architecture,a combination of theory and practice is used to propose the use of attribute reduction of the rough set discernibility matrix to optimize the relevant indicators.Practice shows that 35 secondary indicators in the original indicator system have been reduced by 7 after attribute reduction.The optimized index system retains the original core indicators,simplifies the workload of cloud computing security assessment to a certain extent,improves work efficiency,and embodies the effectiveness of the attribute reduction of discernibility matrix in cloud computing security assessment.