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1. 复旦大学计算机科学技术学院,上海 200438
2. 上海市数据科学重点实验室,上海 200438
Online First:2021-01,
Published:15 January 2021
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Yangyong ZHU, Yun XIONG. Primary exploration of transborder data folw supervision[J]. Big Data Research, 2021, 7(1): 2021010-1.
Yangyong ZHU, Yun XIONG. Primary exploration of transborder data folw supervision[J]. Big Data Research, 2021, 7(1): 2021010-1. DOI: 10.11959/j.issn.2096-0271.2021010.
随着对数据价值的认识日益增强,数据跨境越来越受到关注。一方面,数据跨境是经济全球化和数字经济发展的必由之路;另一方面,数据跨境有可能危害国家数据安全。因此,需要对必要的、合理的数据跨境和恶意的、有害的数据跨境等进行研究、界定,并制定相应规制。首先分析并给出了当前数据跨境的两种类型和4种渠道,然后提出了基于数据分类的数据跨境监管措施,为数据跨境监管和数据跨境立法提供了支持。
With the increasing awareness of the value of data
transborder data flow has attracted more and more attention. On one hand
transborder data flow is necessary for economic globalization and the development of the digital economy. On the other hand
it may cause damage to national data security without effective supervision. Therefore
it is necessary to distinguish between reasonable transborder data flow and malicious one
and formulate appropriate regulations. According to the analysis
two types of current transborder data flow and four transborder data flow channels were given. Furthermore
a classification supervision method for transborder data flow was proposed. This work provides the support for transborder data flow supervision and the legislation for transborder data flow.
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