Abstract:

[Objective] This paper studies the privacy security of big data language laboratory platforms and provides insights of research fields related to privacy security. [Methods] For the language laboratory platform in the big data environment, traditional privacy protection processes and technologies no longer meet the requirements of big data privacy and security. This paper focuses on analyzing the risks of data privacy leakage during the construction and implementation of the language experiment platform and proposes a big data privacy security technical framework for the language experiment platform. The article analyzes all aspects of data circulation, suggests technical solutions, and proposes a random reversible anonymization algorithm for experimental verification in the data release stage. [Results] Privacy security research on big data language experiment platforms has achieved considerable results. The proposed privacy security technology framework can maintain data availability with the privacy information of platform data removed. [Conclusions] The privacy security research on the big data language experiment platform is of scientific research and practical merits, but the overall research is still at the very early stage, and there are still many technical barriers that need to be crossed over.

Key words: big data privacy security, language laboratory platform, EU GDPR, data life cycle