ISSN 1000-1239 CN 11-1777/TP

计算机研究与发展 ›› 2015, Vol. 52 ›› Issue (2): 265-281.doi: 10.7544/issn1000-1239.2015.20140073

所属专题: 2015大数据管理

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  1. 1(中国人民大学信息学院 北京 100872); 2(河南财经政法大学计算机与信息工程学院 郑州 450002) (
  • 出版日期: 2015-02-01
  • 基金资助: 

Big Data Privacy Management

Meng Xiaofeng1, Zhang Xiaojian2   

  1. 1(Information School, Renmin University of China, Beijing 100872); 2(School of Computer & Information Engineering, Henan University of Economics and Law, Zhengzhou 450002)
  • Online: 2015-02-01

摘要: 信息化和网络化的高速发展使得大数据成为当前学术界和工业界的研究热点,是IT业正在发生的深刻技术变革.但它在提高经济和社会效益的同时,也为个人和团体的隐私保护以及数据安全带来极大风险与挑战.当前,隐私成为大数据应用领域亟待突破的重要问题,其紧迫性已不容忽视.描述了大数据的分类、隐私特征与隐私类别,分析了大数据管理中存在的隐私风险和隐私管理关键技术;提出大数据隐私主动式管理建议框架以及该框架下关于隐私管理技术的主要研究内容,并指出相应的技术挑战.

关键词: 大数据, 隐私风险, 隐私主动式管理, 隐私攻击, 隐私泄露

Abstract: With the high-speed development of information and network, big data has become a hot topic in both the academic and industrial research, which is regarded as a new revolution in the field of information technology. However, it brings about not only significant economic and social benefits, but also great risks and challenges on individuals’ privacy protection and data security. Currently, privacy related with big data has been considered as one of the greatest problems in many applications. This paper analyzes and summarizes the categories generated by big data, the privacy properties and types in terms of difference reasons, the challenges in technologies and laws and regulations on managing privacy, and describes the differences of the current technologies which handle those challenges. Finally, this paper provides an active framework for managing big data privacy on the actual private problems. Under this framework, we illustrate some privacy-preserving technology challenges on big data.

Key words: big data, privacy risk, privacy active management, privacy attack, privacy leakage