Data block decomposition and intelligent secure acquisition of microdata

Xiuquan Zhang; Lin Shen; Kaiquan Shi

doi:10.1038/s41598-023-32328-7

Data block decomposition and intelligent secure acquisition of microdata

Sci Rep. 2023 Apr 4;13(1):5493. doi: 10.1038/s41598-023-32328-7.

Authors

Xiuquan Zhang¹, Lin Shen², Kaiquan Shi³

Affiliations

¹ School of Mathematics and Statistics, Huanghuai University, Zhumadian, China. zhangxiuquan@huanghuai.edu.cn.
² School of Mathematics and Statistics, Huanghuai University, Zhumadian, China.
³ School of Mathematics and Systems Science, Shandong University, Jinan, China.

Abstract

P-sets (P stands for Packet) is a set model with dynamic characteristics, which is obtained by introducing dynamic characteristics into Cantor set and improving Cantor set. According to the fact that the characteristics of class I big data are completely consistent with the basic characteristics of P-sets, this paper gives research on theory and application on class I big data from the view of mathematics. Here we introduce Class I big data which need some new definitions of data block, microdata and data link. Based on these concepts, decomposition theorem of data block and microdata relation theorem are given, and then attribute reasoning theorem and microdata intelligent discovery and the intelligent secure acquisition algorithm of microdata are also proposed. By using these theoretical results, the applications of secure acquisition of microdata are presented. In summary, P-sets mathematical model provides a new theory and method for studying class I big data.