Implementation and evaluation of big data desensitization system based on format-preserving encryption

Data desensitization is a process that makes some special transformations on sensitive data in order to protect the secrecy and privacy from being acquired by malicious attackers.Format-preserving encryption is one of the techniques of data desensitization, which has the advantage of keeping data fo...

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Bibliographic Details
Main Authors: Chaoyi BIAN, Shaomin ZHU, Tao ZHOU
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2017-03-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017059/
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Summary:Data desensitization is a process that makes some special transformations on sensitive data in order to protect the secrecy and privacy from being acquired by malicious attackers.Format-preserving encryption is one of the techniques of data desensitization, which has the advantage of keeping data format unchanged so that the upper layer applications are not affected.Along with the coming of big data and the wide application of the Hadoop platform, data desensitization techniques for traditional relational database management systems cannot satisfy the need of production. A data desensitization system based on format-preserving encryption for Hadoop platform was implemented, which provided the encryption support for multiple data storage formats and data value types. Moreover, three different sorts of implementations were discussed, and a series of experiments were carried out to evaluate the performance.
ISSN:1000-0801