GIS vector data decryption and recovery method based on Chebyshev polynomial

Abstract

The invention discloses a GIS vector data decryption and recovery method based on Chebyshev polynomial. The method includes: (1), generating a secret key: determining a control point and disturbance quantity thereof, generating a sample point, calculating errors during decryption, determining decryption model parameters and encrypting and storing the secret key; (2), decrypting: decoding and reading a secret key file, opening original vector data, traversing elements and acquiring original coordinates, normalizing the coordinates and decrypting, and storing decrypted data; (3), recovering: decoding and reading the secret key file, opening the decrypted data, building a recovery model, recovering the decrypted data and storing recovered data. The method is high in attack resistance, the decrypted data can be recovered by utilizing the secret key, and topological relation is maintained good; the data are smooth in overall deformation and random in local disturbance, and a powerful safetyguarantee can be provided for application of vector GIS data in the aspects of sharing, transmission and storage.

Description

technical field [0001] The invention belongs to the field of geographic information security, and in particular relates to a method for deciphering and restoring GIS vector data based on Chebyshev polynomials. Background technique [0002] Vector data is the most widely used basic geographic data, which often contains a large amount of sensitive information, and its security protection is particularly important. The newly revised "Surveying and Mapping Law of the People's Republic of China", which came into effect on July 1, 2017, specifically added a chapter on supervision and management, requiring the establishment of a geographic information security management system and a technical prevention and control system. Relevant policies and regulations also clearly stipulate the confidential content and location accuracy of public maps. [0003] Decryption, as a geographical information security and confidentiality technology widely used at home and abroad, provides a securit...

AI Technical Summary

Problems solved by technology

However, the existing declassification models and methods mainly have the following deficiencies: ①The linear transformation model is relatively simple, lacks local random disturbance, and has low security

②The declassification error of some nonlinear models is difficult to effectively control, resulting in that the declassified data cannot meet the declassification index requirements, and the topological relationship may be damaged, affecting the usability of the declassified data

③ Some models cannot be reversed and accurately restored with the support of the key, which reduces the use value of the decrypted data and is not conducive to the integrated application of the decrypted data and the original data

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