[Purpose/significance] Aiming at the privacy protection issues involved in the process of Chinese scientific research user accessing foreign academic information, this paper puts forward some suggestions, countermeasures and prevention strategies. The paper also studied the protection technologies about the big data and block chain privacy, and feasible privacy protection strategies.[Method/process] By collecting and analyzing the network access data of some representative foreign academic database platforms, it is found that not only the platforms themselves insert the scripts on their websites to collect user information, but also there exist real-time collections and analyses of user information using the third-party platforms.[Result/conclusion] Under the big data environment, through large data technologies, the information can be used by database vendors and their partners or government agencies, and it will lead to the risk of disclosure of privacy information of scientific research users, which may cause some personal safety issues, personal financial problems, or even national security issues.
Ai Qiong
,
Liu Chunlu
,
You Lin
. Privacy Protection and Countermeasures for Scientific Research Users Accessing to Academic Databases in Big Data Environment[J]. Library and Information Service, 2019
, 63(10)
: 12
-20
.
DOI: 10.13266/j.issn.0252-3116.2019.10.002
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