Preserving Privacy in Big Data: A Survey from the Cryptographic Perspective
Liusheng Huang, Miaomiao Tian, He Huang · 2015
Big data is a type of data set, which has rich information and significant value. To avoid the leakage of the privacy of users during big data mining, we should take some necessary measures on big data. Since big data has a huger volume, a more complex structure and has less tolerance of delays, traditional privacy preserving technologies are mostly unsuitable for preserving privacy of the big data. From a cryptographic perspective, this paper surveys the recent progress of privacy preserving technologies for big data. By investigating into storage, search and computation such three basic problems in big data, we respectively elaborate their research backgrounds and the main research directions. We also present the latest research progress of privacy preserving technologies for these problems. Finally, we point out some important directions of privacy preserving technologies for big data to fill the current research gaps.