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

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

doi:10.1109/MC.2016.43

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

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

Tsinghua University
University of Electronic Science and Technology of China

科研成果: 专业出版物投稿 › 文章

49 引用（Scopus）

摘要

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.

源语言	英语
页	54-62
页数	9
卷	49
否	2
专业出版物	Computer
DOI	https://doi.org/10.1109/MC.2016.43
出版状态	已出版 - 2月 2016
已对外发布	是

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10.1109/MC.2016.43

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title = "A Framework for Categorizing and Applying Privacy-Preservation Techniques in Big Data Mining",

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.",

keywords = "big data, big data management, data mining, game theory, information privacy, information security, privacy, provenance, sensitive information",

author = "Lei Xu and Chunxiao Jiang and Yan Chen and Jian Wang and Yong Ren",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.",

year = "2016",

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AU - Xu, Lei

AU - Jiang, Chunxiao

AU - Chen, Yan

AU - Wang, Jian

AU - Ren, Yong

PY - 2016/2

Y1 - 2016/2

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AB - 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.

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KW - big data management

KW - data mining

KW - game theory

KW - information privacy

KW - information security

KW - privacy

KW - provenance

KW - sensitive information

UR - https://www.scopus.com/pages/publications/84962091312

U2 - 10.1109/MC.2016.43

DO - 10.1109/MC.2016.43

M3 - Article

AN - SCOPUS:84962091312

SN - 0018-9162

VL - 49

SP - 54

EP - 62

JO - Computer

JF - Computer

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

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