Intelligent Retrieval and Secure Acquisition of Embedded Data

Shuzhen Chen () and Kaiquan Shi
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Shuzhen Chen: Center for Cyber Security and Electronic Evidence, Fujian Police College, Fuzhou 350007, China
Kaiquan Shi: School of Mathematics, Shandong University, Jinan 250100, China

Mathematics, 2024, vol. 12, issue 16, 1-14

Abstract: Data has attributes, and synchronous changes between data and attributes are the basic characteristics of a type of data: under the condition of supplementing (deleting) some attributes, some data elements are deleted (supplemented) from data. The attributes of data elements follow the conjunctive normal form. Based on the dynamic mathematical model P-sets, firstly, the conception and generation criteria of embedded data are proposed, and the inference theory of embedded data are studied. Secondly, intelligent retrieval and retrieval theorems for embedded data are proposed. Then, intelligent retrieval and secure acquisition algorithms for embedded data are designed. Finally, an application example is presented.

Keywords: P-sets; embedded data; intelligent retrieval; ellipse curve; security algorithm (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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