Research on Security of Big Data in China

DOI

10.2991/assehr.k.220701.026How to use a DOI?

Keywords

big data; data security governance; personal data protection

Abstract

In the contemporary society, we receive mountains of information moment by moment, Including television advertising and mobile phone advertising. What big data is doing is to find valuable information By the mass information. Users’ privacy has met an unprecedented challenge. As a lot of new technologies emerge, the application of bug data faces more risks. So, this study mainly describes the current state of big data security, potential dangers, and regulatory issues. Finally, corresponding solutions to these potential dangers and regulatory issues are proposed. At present, the problem of imperfect data governance system and laws is becoming more and more serious. With the development of data decryption technique, they pose a serious threat to user privacy. Various advanced big data attack techniques, such as ATP attack technology, can make a self-protective stealthy attack. At present, my country has the following problems in data security governance: personal privacy is vulnerable to multivariate data association analysis and foreign infringement attacks; traditional security measures are difficult to meet current security requirements; the security mechanism of network platforms needs to be improved. Therefore, the Chinese government should further improve laws and regulations, deepen cooperation in the global digital economy, and develop advanced data protection technologies.

Copyright

© 2022 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license.

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TY  - CONF
AU  - Jingxuan Wang
PY  - 2022
DA  - 2022/07/04
TI  - Research on Security of Big Data in China
BT  - Proceedings of the 2022 International Conference on Science and Technology Ethics and Human Future (STEHF 2022)
PB  - Atlantis Press
SP  - 128
EP  - 131
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220701.026
DO  - 10.2991/assehr.k.220701.026
ID  - Wang2022
ER  -