Survey on differential privacy and its progress

With the arrival of the era of big data sharing,data privacy protection issues will be highlighted.Since its introduction in 2006,differential privacy technology has been widely researched in data mining and data publishing.In recent years,Google,Apple and other companies have introduced differentia...

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Main Authors: Zhi-qiang GAO, Yu-tao WANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2017-10-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017241/
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author Zhi-qiang GAO
Yu-tao WANG
author_facet Zhi-qiang GAO
Yu-tao WANG
author_sort Zhi-qiang GAO
collection DOAJ
description With the arrival of the era of big data sharing,data privacy protection issues will be highlighted.Since its introduction in 2006,differential privacy technology has been widely researched in data mining and data publishing.In recent years,Google,Apple and other companies have introduced differential privacy technology into the latest products,and differential privacy technology has become the focus of academia and industry again.Firstly,the traditional centralized model of differential privacy was summarized,from the perspective of analysis of data mining and data released in the differential privacy way.Then the latest local differential privacy regarding data collection and data analysis based on the local model was described,involving crowdsourcing with random response technology,BloomFilter,statistical inference techniques.Finally,the main problems and solutions of differential privacy technology were summarized.
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institution Kabale University
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publisher Editorial Department of Journal on Communications
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series Tongxin xuebao
spelling doaj-art-8f56226773c1478e888d1e132fd480ba2025-01-14T07:13:44ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-10-013815115559714837Survey on differential privacy and its progressZhi-qiang GAOYu-tao WANGWith the arrival of the era of big data sharing,data privacy protection issues will be highlighted.Since its introduction in 2006,differential privacy technology has been widely researched in data mining and data publishing.In recent years,Google,Apple and other companies have introduced differential privacy technology into the latest products,and differential privacy technology has become the focus of academia and industry again.Firstly,the traditional centralized model of differential privacy was summarized,from the perspective of analysis of data mining and data released in the differential privacy way.Then the latest local differential privacy regarding data collection and data analysis based on the local model was described,involving crowdsourcing with random response technology,BloomFilter,statistical inference techniques.Finally,the main problems and solutions of differential privacy technology were summarized.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017241/differential privacydata publishingdata miningmachine learningcrowdsourcingprivacy protection
spellingShingle Zhi-qiang GAO
Yu-tao WANG
Survey on differential privacy and its progress
Tongxin xuebao
differential privacy
data publishing
data mining
machine learning
crowdsourcing
privacy protection
title Survey on differential privacy and its progress
title_full Survey on differential privacy and its progress
title_fullStr Survey on differential privacy and its progress
title_full_unstemmed Survey on differential privacy and its progress
title_short Survey on differential privacy and its progress
title_sort survey on differential privacy and its progress
topic differential privacy
data publishing
data mining
machine learning
crowdsourcing
privacy protection
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017241/
work_keys_str_mv AT zhiqianggao surveyondifferentialprivacyanditsprogress
AT yutaowang surveyondifferentialprivacyanditsprogress