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Personal Data Protection and Anonymization in the Process of Data Commodity Trading
Author(s) -
Su Jing,
Jiale Gai,
Yaqing Si,
Xinyu Zheng,
Guangkai Li,
Zhixue Liu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1616/1/012034
Subject(s) - personally identifiable information , data anonymization , big data , data protection act 1998 , identification (biology) , information leakage , commodity , information privacy , computer science , internet privacy , privacy protection , process (computing) , business , data science , data mining , computer security , finance , botany , biology , operating system
Big data brings tremendous commercial value, but at the same time, it also leads to personal information leakage and other problem. This paper analyses the laws and regulations of the personal information and anonymization at home and abroad, and discusses the legal identification criterion of personal information, personal data and data anonymization systematically. And combining with the practice, this paper provides general methods for anonymizing data with personal privacy when they are used or traded by companies.

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