Data desensitization system

Product Overview

The Data Desensitization System (GTEC-DM) is a high-performance data desensitization device that uses big data analysis technology to achieve privacy data discovery, data extraction, data bleaching, test data management, data loading, and other functions. The system adopts a dedicated desensitization processing algorithm to deform, shield, replace, and encrypt sensitive data (format preserving encryption and high-strength encryption), shielding the sensitivity of the original data and achieving privacy protection of the data. The data structure and business logic of the desensitized data are consistent with the original data, and can maintain the uniqueness of the data before and after desensitization, such as ID card, bank card, mobile phone number, IMSI, etc. The upper layer application does not need to change the corresponding business logic for the desensitized data.

Features

Efficient processing capability:Based on big data platform technology, efficient desensitization processing of massive data is achieved through the use of Spark technology and intelligent semantic recognition technology of big data, resulting in high processing efficiency.

Rich database support capabilities:Support international mainstream relational database systems: Oracle, Informix, SQL Server, DB2, MySQL, domestic mainstream database systems: Nanda General GBase, Renmin Jincang, Xugu, etc. Non relational mainstream databases: Hive, MongoDB, Redis, Hbase, etc.

Data consistency:Adopting the leading desensitization processing algorithm - Format Preserving Encryption algorithm to ensure consistent data types before and after processing; Maintain consistency and logical correlation between the same data in different table structures before and after desensitization.

Rich desensitization processing algorithms:Equipped with rich and efficient desensitization algorithms, it can desensitize common sensitive data. The built-in algorithms include SHA2, data replacement, data hiding, data truncation, reversible desensitization, digital rights tracking algorithm, FPE format preservation encryption algorithm, AES, SM4 encryption algorithm.

典型部署

Based on the big data Spark platform technology, the cluster is deployed using master and slave nodes. Support dynamic horizontal scaling from nodes. Support installation on Galaxy Kirin and Zhongbiao Kirin operating systems, enabling centralized and distributed deployment.