基于云变换的物联网安全属性风险评估

Research on the Problem of Network Security Property Risk Assessment Based on Cloud Transform

基于物联网安全数据分布的随机性特点,通过应用云变换从定量数据中得到数据的范围以及分布规律,而将精确的数值转换为恰当的定性描述,据此探索出一种梯形云概念提升算法,并进行了概念合并及提取实验。结果表明,基于云变换算法能高效地将数量型属性的定义域划分成相应的云定性概念,在此基础上对划分结果进行合理提升,最终可获得易于理解的关联规则,并可客观、准确地反映出原子概念云的分布情况,为物联网安全属性的准确评估提供了理论依据。

A trapezium cloud concept generalization algorithm is proposed based on the stochastic characteristics of IOT security data distribution and the concept of merging and concept extraction experiment are provided. The data are obtained from the range and distribution from the quantitative data through the application of cloud transform,thus transforming the accurate numerals to appropriate qualitative description. Results show that by the cloud transform algorithm,the domain of quantitative attributes can be efficiently converted into corresponding qualitative concepts based on the cloud,on the basis of which the classification results are reasonably promoted to obtain easily accessible association rules,which objectively and accurately reflect the distribution of atom cloud. This research provides theoretical basis for the evaluation of network security attributes.