A Recoverable Lightweight Desensitization Method for Preserving Number Types

Abstract

The invention discloses a recoverable light-weight desensitization method of reserved number type. The method uses ten integers from 0 to 9 to encrypt through a light-weight block cipher algorithm to obtain a ciphertext size distribution sequence, and the distribution sequence As a numeric positive permutation table. The real digital data to be desensitized and the encryption key are added in one-to-one correspondence, and the modulo 10 operation is performed, and then the desensitization operation is performed with the digital forward substitution table, and the digital false data is obtained after desensitization, and the desensitization of the data is completed . On the basis of the digital positive permutation table, a digital reverse permutation table is constructed, and the desensitized pseudo-digital data is replaced and recovered by the digital reverse permutation table, and then subtracted one by one from the encryption key and modulo 10 operation, so that the false data after desensitization can be recovered to obtain real digital data. This method keeps the format of data before and after desensitization unchanged, realizes data masking, and performs efficient and safe desensitization processing and recovery after desensitization for digital data of any length, saving software Implementation overhead versus hardware implementation cost.

Description

technical field [0001] The invention relates to a recoverable lightweight desensitization method for reserved digital types, which belongs to the field of information security. Background technique [0002] Data desensitization refers to the special processing of secret or private information contained in data, such as personal identification information, commercial confidential data, etc., in order to achieve the effect of data deformation, so that malicious attackers cannot extract information from desensitized data. Directly obtain sensitive or valuable information, so as to realize the protection of confidential and private information. [0003] According to the effect of data desensitization, it can be divided into two categories: non-recoverable desensitization and recoverable desensitization. Irrecoverable desensitization means that the desensitized data cannot be recovered, such as obfuscation and masking. Restorable desensitization means that desensitized data can...

AI Technical Summary

Problems solved by technology

[0008] The technical problem to be solved by the present invention is: to solve the difficult problems existing in the existing recoverable data desensitization technology: (1) the existing recoverable data desensitization technology adopts traditional block cipher encryption, so that the data length and type change, Therefore, it is necessary to modify the database structure or application program to adapt to these changes, which is very costly

Images