安全两方距离计算及范围搜索协议的分析与应用-analysis and application of secure two-party distance calculation and range search protocol.docx

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2018-05-28 发布于上海
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安全两方距离计算及范围搜索协议的分析与应用-analysis and application of secure two-party distance calculation and range search protocol.docx

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安全两方距离计算及范围搜索协议的分析与应用-analysis and application of secure two-party distance calculation and range search protocol

AbstractWiththerapiddevelopmentofnetworkandinformationacquisitionequipment,tremendousopportunitiesforcooperativecomputationhavebeenopenedupinthewordofInternetofThings.Therefore,itiseasytocollecttheprivatedatafromusersthroughtheapplicationsbasedoncollaborativecomputing,andprivacyconcernsbecomeanincreasinglycriticalissue,recently.Securemulti-partycomputationplaysanimportantroleinprivacy-preserving.ItalsoworksinPrivacy-Preservingcomputationalgeometryanddatamining.Inthisthesis,wedevotetoinvestigatethesolutionstosomesecuretwo-partyproblemsinacooperativeenvironment.Thescalar(dot)productisoneofthemostusedsub-protocolinSMC.Althoughseveralsolutionsexistintherelevantliteratureforthisproblem,theneedformoreefficientandmorepracticalsolutionsstillremains.Inthisthesis,averyefficientandverypracticalsecurescalarproductprotocolispresented.Toshowthatourprotocolismuchmoreefficientthantheexistingones,itiscomparedtothemostcommonscalarproductprotocols.AnotherproblemiscollaborativelycomputingtheEuclid-distancebetweentwoprivatevectorswithoutdisclosingtheprivateinputtoeachother.Thesecurescalarproductprotocolproposedaboveisusedasabuildingblockinthesecuredistanceprotocol.Besides,ageneralprivacy-preservingEuclid-distanceprotocolwithuntrustedthirdpartyandhighsecrecyispresentedbasedontheextensionofthescalarproductproposedbyW.L.Du.Aprivacy-preservingdistancemeasurementsolutionwithhighefficiencyisthethirddistanceprotocolpresentedinthisthesis.Andallofthemprovedtobesecureandefficientinthecomparisonwiththepreviousmethodsinsomefields.RangesearchingproblemhasbeenlittleinvestedsinceitwasfirstproposedbyAtallah.Twoprotocolsofrangesearchingfordifferentsecureneedsareproposedbaseonthepermutationalgorithminthisthesis.Thisthesisalsopresentsthedesignandimplementationofaprivacy-preservingorientedlocationbasedserviceprototypesysteminInternetofThings.Oneoftheaboverangsearchingalgorithmisimplementedontheprototypesystem,andverifiedfeasibleandeffective.Keywords:SecureMulti-partyComputation,SecureScalarProduct,SecureDi