A database desensitization system and method based on big data

Abstract

The invention discloses a database masking system based on big data. The system comprises a system management module for constructing a role for the database masking system, and performing function authorization and management on the role, a data source management module for providing data source management for the database masking system, a sensitive data discovery module for automatically discovering sensitive data in the database and submitting the sensitive data to a user to adjust and confirm, a masking task management module for configuring and managing the masking task of the database masking system; a masking configuration management module for managing and defining the sensitive data and performing masking algorithm and masking strategy management, a masking verification module for verifying the masking by comparing data before the masking with data after the masking, a multi-stage management module for realizing the status monitoring and strategy issuing and data synchronization of multi-stage masking equipment, and a security auditing module for analyzing the acquired masking log data in real time to guarantee the security of the database masking system. The invention further discloses a database masking method based on the big data.

Description

technical field [0001] The invention relates to the cross-technical field of computer technology and information security, in particular to a database desensitization system and method based on big data. Background technique [0002] With the rapid development of Internet technology, the government and enterprises have accumulated a large amount of sensitive information and data, and these data will be used in many work scenarios, for example, business analysis (accurate positioning of users, mining of business value of big data) , sharing and exchange, development and testing, and even some outsourcing services, all use real business data and information. Once these sensitive data are leaked, it will not only bring huge losses to the government and enterprises themselves, but also incalculable damage to individual and enterprise users. [0003] Today, sensitive personal, financial and health information is subject to a variety of different industry and government data priv...

AI Technical Summary

Problems solved by technology

[0011] First, the big data platform collects a large amount of sensitive privacy data and provides services for various business departments. Usually, the big data platform will ensure data security through user authentication, authority control and data encryption technologies, but any authorized access user Personnel who own data may lead to the leakage of data risks, and those without authority may also infer information through research on data mining analysis, resulting in the leakage of privacy risks

Most of the existing data desensitization products provide static data desensitization function, but how to realize real-time dynamic desensitization in the production environment while ensuring the performance of the system is an urgent problem to be solved;

[0012] Second, most current database desensitization systems use a rule-based approach to discover sensitive data, but this approach not only reduces the efficiency of sensitive data discovery, but also fails to identify sensitive data with semantics;

[0015] Fifth, existing data desensitization products can provide desensitization services for independent organizations, and cannot meet the needs of multi-level organizations or departments for desensitization management and monitoring;

[0016] Sixth, data desensitization must not only ensure that the sensitivity of the data is removed, but also meet the needs of users as much as possible. Most of the existing data desensitization is to desensitize the data, ignoring the verification of the correctness of the desensitization results, validity and authenticity;

[0017] Seventh, sensitive privacy data is very important. When it leaks, it cannot be effectively audited and supervised. Therefore, security audit and supervision of data desensitization are urgently needed

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