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Intelligent Retrieval and Secure Acquisition of Embedded Data

Author

Listed:
  • 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)

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.

Suggested Citation

  • Shuzhen Chen & Kaiquan Shi, 2024. "Intelligent Retrieval and Secure Acquisition of Embedded Data," Mathematics, MDPI, vol. 12(16), pages 1-14, August.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:16:p:2571-:d:1460110
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