面向频繁模式挖掘的差分隐私保护研究综述.pdf

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1、3510
Vol.35No.102014
10JournalonCommunicationsOctober2014doi:10.3969/j.issn.1000-436x.2014.10.023
11,2
(1.1001902.100190)
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2、V)WALXTYZNOJ[PS5Q%()"#A"#67AATP309.2;TP392A1000-436X(2014)10-0200-10Surveyofdifferentialprivacyinfrequentpatternmining11,2DINGLi-ping,LUGuo-qing(1.NationalEngineeringResearchCenterofFundamentalSoftware,InstituteofSoftware,ChineseAcademyofSciences,Beijing100190,China;2.Univer

3、sityofChineseAcademyofSciences,Beijing100190,China)Abstract:Frequentpatternminingisanexploratoryprobleminthefieldofdatamining.However,directlyreleasingthediscoveredfrequentpatternsandthecorrespondingtruesupportsmayrevealtheindividuals’privacy.Thestate-of-the-artsolutionforthisproblemisdifferent

4、ialprivacy,whichoffersastrongdegreeofprivacyprotectionbyaddingnoise.Firstly,thetheoreticalbasisofdifferentialprivacywasintroduced.Then,threerepresentativefrequentpatternminingmethodsunderdifferentialprivacyweresummarizedandcomparedindetail.Finally,somefutureresearchdirectionswerediscussed.Keywo

5、rds:differentialprivacy;privacyprotection;frequentpattern;datamining/2)sTUc1
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7、z}~=21)ÉÊ@Ë2rÌÍ1)_hipqÎsÏ2014-03-03A2014-04-20]^_`abcdefgd8(2012ZX01039-004)

8、Ah]_ijkV_`:lcdefgd8(XDA06010600)FoundationItems:TheNationalScienceandTechnologyMajorProgramofChina(2012ZX01039-004);TheStrategicTechnologyPilotProgramoftheChineseAcademyofSciences(XDA06010600)
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