Data desensitization method and device

Abstract

The invention discloses a data desensitization method. Hbase data request information sent by a distributed computing database (Hbase) data request end is analyzed into sub Hbase data request information corresponding to each Hbase distributed processing node; the sub Hbase data request information is sent to respective corresponding Hbase distributed processing nodes; a preset data desensitization strategy corresponding to the Hbase data request end is adopted to respectively carry out data desensitization processing on the request data obtained from each Hbase distributed processing node request; and processing result data obtained after data desensitization processing is carried out on the request data are sent to the Hbase data request end. The invention further discloses a data desensitization device, a storage medium and an information processing device.

Description

technical field [0001] The invention relates to the technical field of data security, in particular to a data desensitization method and device. Background technique [0002] With the rapid development of Internet technology, the current society has entered the era of big data; at present, privacy data protection has encountered severe challenges, and data security has become the top priority. [0003] Data desensitization can expand the use range and sharing objects of original data without reducing security. It is one of the most effective sensitive data protection methods in the big data environment. [0004] Existing data desensitization technologies are mainly aimed at relational databases, and data desensitization servers are usually used for data desensitization; the data desensitization server performs data desensitization processing on the data obtained from the database, and sends the desensitized data to request side. [0005] The main defects and deficiencies o...

AI Technical Summary

Problems solved by technology

[0006] First, special data desensitization service middleware is required, that is, an external data desensitization server, which increases the cost and complexity of software and hardware, and high operation and maintenance costs;

[0007] Second, the data access request and result data return need to go through the data desensitization server, which consumes a lot of network bandwidth and computing and storage resources, and the degree of concurrency is not high, and the efficiency is low; The method cannot meet the response time requirements of high-performance data desensitization

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