Abstract:

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.

Key words: cloud transform;network;security property;risk assessment