| 大数据时代个人数据隐私安全保护的一个分析框架 |
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| 引用本文： | 祝阳,李欣恬.大数据时代个人数据隐私安全保护的一个分析框架[J].情报杂志,2021(1):165-170. |
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| 作者姓名： | 祝阳 李欣恬 |
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| 作者单位： | 北京邮电大学经济管理学院 |
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| 基金项目： | 中央高校基本科研业务费发展战略研究专项项目“大数据工具驱动城市社区公共服务精准化模式与对策研究”(编号:2020FZZL04);中央社院统一战线高端智库课题“中国梦视域下高校少数民族知识分子国家认同感研究”(编号:ZK20190223);大学生创新实践计划项目“大数据驱动社区公共服务精准化的模式研究”(编号:201908006);教育部高校思想政治工作创新发展中心(长安大学)专项课题“中国梦视域下‘00后’少数民族大学生的国家认同感研究”(编号:20200208)。 |
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| 摘 要： | 目的/意义]大数据时代将人类社会带入了数据利用的黄金时代,与此相伴的个人隐私安全问题,成为数据价值开发及政府数据开放的瓶颈。文章旨在解决大数据时代的个人数据隐私安全问题,充分保障公民隐私权。方法/过程]在已有研究基础上,梳理大数据发展对个人隐私的挑战并分析产生影响的原因;按个人信息敏感程度与数据生命周期两个维度,构建大数据时代个人数据隐私安全保护的分析框架;从技术、政府、信息业者、公民四个方面,分析各环节应当采取的针对性保护措施。结果/结论]不同类型的个人数据的信息敏感度及信息价值不同,在数据生命周期的各个阶段,需要采取差异化的保护策略。
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| 关 键 词： | 大数据 个人数据 隐私安全 数据保护 |
An Analytical Framework for Privacy Security Protection of Personal Data in the Era of Big Data |
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| Zhu Yang,Li Xintian.An Analytical Framework for Privacy Security Protection of Personal Data in the Era of Big Data[J].Journal of Information,2021(1):165-170. |
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| Authors: | Zhu Yang Li Xintian |
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| Institution: | (School of Economics and Management,Beijing University of Posts and Telecommunications,Beijing 100876) |
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| Abstract: | Purpose/Significance]The era of big data has brought the human society into the golden age of data utilization,with which the security issue of personal privacy data has become the obstacle of data value development and government data opening.This paper aims to solve the privacy security problem of personal data in the era of big data and fully protect citizens'privacy rights.Method/Process]On the basis of existing study,it combed the challenges brought by the development of big data to personal privacy and analyzed the causes of influence.Furthermore,in two dimensions of the sensitivity of personal information and data life-cycle,an analytical framework was built for privacy security protection of personal data in the era of big data;from four aspects of technology,government,information practitioner and citizen,the targeted measures to be taken at each stage were analyzed.Result/Conclusion]Different types of personal data have different information sensitivity and information value.In each stage of data life cycle,different protection strategies should be adopted. |
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| Keywords: | big data personal data privacy security data protection |
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