Relational Database of Cartographic Scenes with Associative Protection
( Pp. 101-108)

This research paper presents the new approach to data organization and protection in relational databases of cartographic scenes. The proposed approach uses associative steganography, which combines the principles of steganography and cryptography to protect information. The proposed technique is based on the processing and storage of cartographic information in vector format, as well as on the use of SQL servers to organize data protection. The structure and properties of relations in a relational database are described in detail, including different types of objects and map layers, methods of their representation and encoding. Particular attention is paid to the structure of data representation, protection measures, including randomization of records and use of association-protected storage format for certain attributes. The paper includes a discussion of the differences between an associative-protected full-object map schema database and a point-object database, and presents an analysis of vectorization errors and their relationship to raster data quality. This research is of interest to specialists in the field of geographic information systems, cryptography, information security, as well as to all those who work with processing and protection of cartographic data.

Vershinin I.S. Relational Database of Cartographic Scenes with Associative Protection. Computational Nanotechnology. 2023. Vol. 10. No. 3. Pp. 101–108. (In Rus.) DOI: 10.33693/2313-223X-2023-10-3-101-108. EDN: TQDDJL

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relational database, map scenes, vector cartography, associative steganography, SQL servers, data protection, full-object database, vectorization errors.