大数据隐私保护技术综述

Privacy preservation in big data:a survey

大数据分析带来的隐私泄露问题日趋严重,如何在利用大数据为各行各业服务的同时,保护隐私数据和防止敏感信息泄露成为新的挑战。大数据具有规模大、来源多、动态更新等特点,传统的隐私保护技术大都已不再适用。为此,给出了大数据时代的隐私概念和生命周期保护模型;从大数据生命周期的发布、存储、分析和使用4个阶段出发,对大数据隐私保护中的技术现状进行了分类阐述,并对各技术的优缺点、适用范围等进行分析;对大数据隐私保护技术发展的方向和趋势进行了阐述。

Privacy disclosure issue becomes more and more serious due to big data analysis. Privacy-preserving techniques should be conductive to the big data applications while preserving data privacy. Since big data has the characteristics of huge scale, numerous sources and dynamic update, most traditional privacy preserving technologies are not suitable any more. Therefore, the concept of privacy and life cycle protection model of big data era were introduced firstly. Technical state of big data privacy preservation was elaborated from the points of view of four stages in big data life cycle, i.e. data publishing, storage, analysis and use. The relative merits and scope of application of each technology were investigated as well. Finally, some important direction and tendency of privacy preservation technologies for big data were suggested.