图书情报工作 ›› 2019, Vol. 63 ›› Issue (10): 12-20.DOI: 10.13266/j.issn.0252-3116.2019.10.002

• 理论研究 • 上一篇    下一篇

科研用户访问国外学术数据库的隐私保护与对策

艾琼1, 刘纯璐2, 游林3   

  1. 1. 杭州电子科技大学图书馆 杭州 310018;
    2. 杭州电子科技大学通信工程学院 杭州 310018;
    3. 杭州电子科技大学网络空间安全学院 杭州 310018
  • 收稿日期:2018-09-27 修回日期:2018-11-22 出版日期:2019-05-20 发布日期:2019-05-20
  • 作者简介:艾琼(ORCID:0000-0001-8230-5294),馆员,E-mail:aiq@hdu.edu.cn;刘纯璐(ORCID:0000-0002-9876-7685),硕士研究生;游林(ORCID:0000-0002-1383-0500),教授。
  • 基金资助:
    本文系浙江省教育厅科研项目"大数据下高校数字图书馆的云存储与服务安全问题研究"(项目编号:Y201636443)和浙江省教育技术研究规划课题"基于云环境下海量数字资源云服务辅助教学研究"(项目编号:JB015)研究成果之一。

Privacy Protection and Countermeasures for Scientific Research Users Accessing to Academic Databases in Big Data Environment

Ai Qiong1, Liu Chunlu2, You Lin3   

  1. 1. Library, Hangzhou Dianzi University, Hangzhou 310018;
    2. School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018;
    3. College of Cyberspace Security, Hangzhou Dianzi University, Hangzhou 310018
  • Received:2018-09-27 Revised:2018-11-22 Online:2019-05-20 Published:2019-05-20

摘要: [目的/意义] 针对我国科研工作者获取国外学术信息过程中涉及的隐私保护问题,提出相关建议、对策与防范策略,并探讨大数据与区块链隐私保护技术及其实现隐私保护的可行策略。[方法/过程] 通过对国外学术数据库平台网站的访问数据进行收集分析,发现这些数据库平台除了在其自身网站中插入收集用户信息的脚本外,还存在使用第三方平台脚本对用户信息进行实时收集的情况,并对此结果进行分析,挖掘其关联性。[结果/结论] 通过大数据技术,科研用户访问国外学术数据库信息可为数据库商及其合作伙伴或政府机构所获取利用,致使科研用户的隐私信息发生泄露的风险,从而导致个人安全问题、财务问题,甚至国家安全问题,需要从多个层面加以重视。

关键词: 大数据, 国外学术数据库, 科研用户, 隐私保护, 区块链

Abstract: [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.

Key words: big data, foreign database, research users, privacy protection, block chain

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