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Personal Data Security and Supervision in the Age of Large Data

DU Zhen-Yuan

Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, P.R. China

* Corresponding Author: DU Zhen-Yuan, email

Intelligent Automation & Soft Computing 2019, 25(4), 847-853.


Big data’s fast growth and development has triggered the attention of academic circles. Most of the studies are focusing on the concept of personal data, the definition of data rights, etc. In China, the current status of laws protecting personal data is still scarce and incomplete, relying on specific regulations that are lacking an overall architecture, which has not been efficient in the age of rapid development and application of big data. In the western countries with relatively mature personal data supervision system, the supervision principle is centered on the data subject, and it is difficult to adapt to the development and change of the current large data technology. This study analyses the current situation of large data security risk, discusses the supervision principle, supervision law of data security, right relief mechanism and supervision auxiliary mode, including the regulation of self-discipline organization of the industry, the introduction of credit system and so on, in order to build an effective personal data security supervision system and standardize the operation of the using personal data in whole industry.


Cite This Article

APA Style
Zhen-Yuan, D. (2019). Personal data security and supervision in the age of large data. Intelligent Automation & Soft Computing, 25(4), 847-853.
Vancouver Style
Zhen-Yuan D. Personal data security and supervision in the age of large data. Intell Automat Soft Comput . 2019;25(4):847-853
IEEE Style
D. Zhen-Yuan, "Personal Data Security and Supervision in the Age of Large Data," Intell. Automat. Soft Comput. , vol. 25, no. 4, pp. 847-853. 2019.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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