A Framework for Categorizing and Applying Privacy-Preservation Techniques in Big Data Mining

Lei Xu, Chunxiao Jiang, Yan Chen, Jian Wang, Yong Ren

Research output: Contribution to specialist publicationArticle

48 Citations (Scopus)

Abstract

To protect sensitive information in mined data, researchers need a way to organize a variety of ongoing work. The Rampart framework categorizes protection approaches and encourages interdisciplinary solutions to the growing variety of privacy problems associated with knowledge discovery from data.

Original languageEnglish
Pages54-62
Number of pages9
Volume49
No.2
Specialist publicationComputer
DOIs
Publication statusPublished - Feb 2016
Externally publishedYes

Keywords

  • big data
  • big data management
  • data mining
  • game theory
  • information privacy
  • information security
  • privacy
  • provenance
  • sensitive information

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Xu, L., Jiang, C., Chen, Y., Wang, J., & Ren, Y. (2016). A Framework for Categorizing and Applying Privacy-Preservation Techniques in Big Data Mining. Computer, 49(2), 54-62. https://doi.org/10.1109/MC.2016.43