Relational Database of Cartographic Scenes with Associative Protection

Cover Page

Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription or Fee Access

Abstract

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.

Full Text

Restricted Access

About the authors

Igor S. Vershinin

Kazan National Research Technical University named after A.N. Tupolev – KAI

Author for correspondence.
Email: isvershinin@kai.ru
Scopus Author ID: 55977774300

Candidate of Engineering, Associate Professor; Head of the Department of Computer Systems

Russian Federation, Kazan, Republic of Tatarstan

References

  1. Leonov A.D., Yasaviev D.R., Mukhametzyanova M.A. Parallel control of secure cartographic databases. In: Informatics: Problems, methodology, technologies. Materials of the XVI International Scientific and Methodological Conference, Voronezh, February 11–12, 2016. Sections 5–6. Voronezh: Research Publications, 2016. Pp. 304–309.
  2. Lisitsky D.V., Katsko S.Yu. Purpose and features of digital cartographic image in geo-information mapping. Interexpo Geo-Siberia. 2005. Vol. 4. Pp. 22–28. (In Rus.)
  3. Shangguan B., Yue P., Wu Z., Jiang L. Big spatial data processing with Apache Spark. In: 6th International Conference on Agro-Geoinformatics. Fairfax, VA, USA, 2017. Pp. 1–4.
  4. Gibadullin R.F., Novikov A.A. Parallel module for performing spatial queries to a secure cartographic database. In: Search for effective solutions in the process of creating and implementing scientific developments in the Russian aviation and rocket and space industry. International Scientific and Practical Conference, Kazan, August 5–8, 2014. Vol. II. Kazan: Publishing House of Kazan State Technical University, 2014. Pp. 422–424.
  5. Gibadullin R.F., Leonov A.D., Peruhin M.Iu. Separation of spatial data for scalable request processing. Bulletin of the University of Technology. 2017. Vol. 20. No. 8. Pp. 83–86. (In Rus.)
  6. Gibadullin R.F. Development of a uniform formalism for the protection of point, linear and areal objects of cartography. Bulletin of Kazan State Technical University named after A.N. Tupolev. 2010. No. 2. Pp. 101–105. (In Rus.)
  7. Gibadullin R.F., Gashigullin D.A., Vershinin I.S. Development of the StegoStream decorator for associative protection of byte stream. Modeling, Optimization and Information Technologies. 2023. Vol. 11. No. 2. (In Rus.) URL: moitvivt.ru/ru/journal/pdf?id=1359
  8. Selamat M.H., Othman M.S., Shamsuddin N.H.M. et al. A review on open source architecture in Geographical Information Systems. International Conference on Computer & Information Science (ICCIS). Kuala Lumpur, Malaysia, 2012. Pp. 962–966.
  9. Nagaraja Sekhar A., Rajan K.S., Jain A. Spatial informatics and Geographical Information Systems: Tools to transform Electric Power and Energy Systems. In: TENCON 2008. IEEE Region 10 Conference. Hyderabad, India, 2008. Pp. 1–5.

Supplementary files

Supplementary Files
Action
1. JATS XML
2. Fig. 1. Vectorization errors

Download (54KB)
3. Fig. 2. Scheme of point-object database of map scenes with associative protection

Download (332KB)
4. Fig. 3. Scheme of a full-object database of map schemes with associative protection

Download (303KB)