Big Data Research ›› 2017, Vol. 3 ›› Issue (5): 45-56.doi: 10.11959/j.issn.2096-0271.2017051

• Topic:big data security and privacy protection • Previous Articles     Next Articles

Privacy preserving in the age of big data

Xianjin FANG,Yafei XIAO,Gaoming YANG   

  1. School of Computer Science and Engineering,Anhui University of Science &Technology,Huainan 232001,China
  • Online:2017-09-20 Published:2017-10-24
  • Supported by:
    The National Natural Science Foundation of China(61572034);The National Natural Science Foundation of China(61402012)

Abstract:

One of biggest concerns of big data is privacy,especially,in the processing of big data publishing or data mining.However,the study on big data privacy is still at a very early stage.The preliminary knowledge about the definition of roles and operations of privacy system were introduced.The mathematical description and measurement metrics of privacy study was given.The models of privacy preserving were analyzed,including k-anonymity and differential privacy.The current situation of privacy preserving in big data age was reviewed,especially,the privacy preserving based location-based services and its applications were summarized.The challenges and opportunities in the age of big data were summarized.The directions to improve the existing privacy protection methods satisfying the unprecedented computational requirements of big data were pointed out.

Key words: big data, k-anonymity, differential privacy, privacy model

CLC Number: 

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