大数据隐私保护密码技术研究综述

Preserving Privacy in Big Data: A Survey from the Cryptographic Perspective

大数据是一种蕴含大量信息、具有极高价值的数据集合.为了避免大数据挖掘泄露用户的隐私,必须要对大数据进行必要的保护.由于大数据具有总量庞大、结构复杂、处理迅速等特点,传统的保护数据隐私的技术很多都不再适用.从密码学的角度,综述了近年来提出的、适用于大数据的隐私保护技术的研究进展.针对大数据的存储、搜索和计算这3个重要方面,分别阐述了大数据隐私保护的研究背景和主要研究方向,并具体介绍了相关技术的最新研究进展.最后指出未来大数据隐私保护研究的一些重要方向.

Big data is a type of data set with rich information and significant value. To avoid leakage of user privacy during big data mining, some necessary measures on big data need to be placed. Since big data has huger volume, more complex structure and less tolerance of delays, traditional privacy preserving technologies are mostly unsuitable for preserving privacy of big data. From a cryptographic perspective, this paper surveys the recent progress on privacy preserving technologies for big data. Three basic problems in big data, namely storage, search and computation, are investigated, and their research background and main research directions are elaborated. The latest research progress of privacy preserving technologies for these problems is also presented. Finally, some important directions of privacy preserving technologies for big data are suggested.