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  • 标题:Two Layered Privacy Architecture for Big Data Framework
  • 本地全文:下载
  • 作者:Namavaram Vijay ; Ajay Babu Sriramoju ; Ramesh Gadde
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2017
  • 卷号:5
  • 期号:10
  • 页码:16056
  • DOI:10.15680/IJIRCCE.2017.0510069
  • 出版社:S&S Publications
  • 摘要:Big data is used for gathering and analyzing a huge volume of real-time produced data efficiently andeffectively, but it has also a great volume of sensitive data arising invasion of privacy. Big data analysis will give usvery customized and effective analysis results, but this technology can be abused for privacy invasion of personal users.This paper introduces sensitive information which can be integrated at the data collection stage, data analysis stage, andpresentation service stage. The proposed system will provide the steps for hiding protective information from the bigdata processing databases, and these steps are presented in detail with some examples in this paper.
  • 关键词:Big Data; Privacy; Security; De-identification
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