BFV land use annual change survey vector data homomorphic encryption method and system

By using a BFV-based hierarchical mapping and optimized encryption operations, the problem of land use classification statistics in the encrypted state of annual land use change survey data was solved, achieving efficient coding, optimized security parameters, and accurate decryption, thereby improving the security and efficiency of data processing.

CN122133171BActive Publication Date: 2026-07-21CHONGQING PLANNING & NATURAL RESOURCES INFORMATION CENT
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHONGQING PLANNING & NATURAL RESOURCES INFORMATION CENT
Filing Date
2026-05-07
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing technologies cannot effectively support vector data land use classification statistics of annual land use change survey data in encrypted form, and there are problems such as coding redundancy, parameter rigidity and uncontrollable noise.

Method used

A homomorphic encryption method for vector data from annual land use change surveys based on the BFV scheme is adopted. This method converts semantic information into numerical vectors through a hierarchical mapping mechanism, and combines scaling factor and offset compression coding to optimize encryption and decryption processes, thereby achieving efficient coding and security parameter optimization in the ciphertext state.

Benefits of technology

While ensuring data privacy and security, it achieves efficient encoding, security parameter optimization, and accurate decryption in encrypted state, restoring the secure computing capabilities of geospatial data and improving the efficiency and accuracy of land area aggregation.

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Abstract

The application provides a BFV land use annual change survey vector data homomorphic encryption method and system, including: S1, coding optimization is carried out on the land type name, a land type name coding model is formed, and the land area is normalized; S2, a selection model is established for the polynomial modulus, the coefficient modulus and the plaintext modulus, the parameter security state is verified, and the parameter selection accuracy is optimized; S3, the encryption operation is optimized, the plaintext polynomial is coded, a noise polynomial is generated, BFV is subjected to encryption operation, and the encrypted noise is analyzed; S4, after the ciphertext addition operation, the ciphertext multiplication operation is executed, the ciphertext rotation operation is executed after the multiplication operation, and finally, the ciphertext summation operation is executed; and S5, the ciphertext result is subjected to the decryption operation according to the decryption correctness execution condition, the plaintext polynomial is decoded, and the area value is restored.
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