rlm a general model for trust representation and aggregation

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1、IEEETRANSACTIONSONSERVICESCOMPUTING,VOL.X,NO.X,XXX20101RLM:AGeneralModelforTrustRepresentationandAggregationXiaofengWang,Member,IEEE,LingLiu,SeniorMember,IEEEandJinshuSu,Member,IEEEAbstract—Reputation-basedtrustsystemsprovideimportantcapabilityinopenandservice-oriented

2、computingenvironments.Mostexistingtrustmodelsfailtoassessthevarianceofareputationprediction.Moreover,thesummationmethod,widelyusedforreputationfeedbackaggregation,isvulnerabletomaliciousfeedbacks.Thispaperpresentsageneraltrustmodel,calledRLM,foramorecomprehensiveandrob

3、ustreputationevaluation.Concretely,wedefineacomprehensivereputationevaluationmethodbasedontwoattributes:reputationvalueandreputationpredictionvariance.Thereputationpredicationvarianceservesasaqualitymeasureofthereputationvaluecomputedbasedonaggregationoffeedbacks.Forfee

4、dbackaggregation,weproposethenovelKalmanaggregationmethod,whichcaninherentlysupportrobusttrustevaluation.Todefendagainstmaliciousandcoordinatedfeedbacks,wedesigntheExpectationMaximizationalgorithmtoautonomouslymitigatetheinfluenceofamaliciousfeedback,andfurtherapplytheh

5、ypothesistestmethodtoresistmaliciousfeedbacksprecisely.Throughtheoreticalanalysis,wedemonstratetherobustnessoftheRLMdesignagainstadulatinganddefamingattacks,twopopulartypesoffeedbackattacks.OurexperimentsshowthattheRLMmodelcaneffectivelycapturethereputation’sevolutiona

6、ndoutperformthepopularsummationbasedtrustmodelsintermsofbothaccuracyandattackresilience.Concretely,undertheattackofcollusivemaliciousfeedbacks,RLMoffershigherrobustnessforthereputationpredictionandalowerfalsepositiverateforthemaliciousfeedbackdetection.IndexTerms—trust

7、model,accuracyassessment,maliciousfeedback,robustness.F1INTRODUCTIONrectlybetweenprovidersandtheevaluator(personalexperience)andtherecommendationsmadebyotherTherapidgrowthofInternetandubiquitousconnectiv-consumers(feedback)[1].Fromthepersonalexperi-ityhasspurredthedeve

8、lopmentofvariouscollaborativeence’sperspective,mostexistingworkusedthesimplecomputingsystemssuchasservice-orientedcom