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1、AbstractInC2C(ConsumertoConsumer)e-commercesystems,thetransactionsareanonymousanddynamic,thepartnerslackofthebasictrustfoundations,sothereexistsrisksintheprocessofthetransactions.Itisoneoftheefficientwaystoreducethetransactionriskthatthetrustalgorithmisusedtoevaluatesellers'trustworthinessandhelp
2、buyersmakedecision-buying.Inordertocomputetrustquantitativelyandobjectively,someconceptsoftrustandtrustrelationshipsaredefinedintermsofhumancognitivemethodsandbehaviorsinsociety,andaformaldescriptionmodelisraisedbasedonthetrustnetwork.Consideringthereputationpropagationdiscipline,optimizationalgo
3、rithmsforthetrustnetworkareputforwardwhichcaneffectivelysimplifythecomplexnetworkrelationship.Andavisualgenerationtoolisdevelopedforthetrustnetwork,whichcanreducethecomplexityofthetrustcomputingalgorithm,andbuildthetheoreticalprincipleforstudyingontrustpropagationmechanismandtrustevaluationmodel•
4、Then,thedynamictrustalgorithmCDTA(C2CDynamicTrustAlgorithm)isconstructedforC2Ce-commerceenvironmentindetail.Thealgorithmfirstcomputesthedirecttrustworthinessofthebuyertothesellerbythetransactionexperiencebetweenthebuyerandtheseller.Secondly,thereferencetrustworthinessiscomputedfromthebuyersfriend
5、sinthetrustnetwork.Finally,thetrustofthebuyertotheselleristheintegrationofthedirecttrustworthinessandthereferencetrustworthinessbymeansofthetrustadjustingfactor.Inordertoreducetheattackfrommaliciousactandmakethetrustworthinessmoreaccurately,atrust-factorisdefinedinthealgorithm.Theexperimentsshowt
6、hatboththetransactionmulti-attributesandtheirrelativitiesaretakenintoaccountinCDTA,thegranularityofthetrustevaluationismorefinegrainedandtheevaluationresultismoreobjective.Ontheotherhand,thetrustcorrelationcoefficientcanhelpthebuyersiftoutthereferencenodesmeetingwiththebuyer^sindividuation,maket
7、hereferencetrustworthinessmoreaccurately,andcurbtheimpactontheCDTAfromsomemaliciousnodes.KeyWords:E-Commerce,TrustNetwork,NetworkOptimization,TrustAttributes,TrustComputingin摘要IABSTRACTII1绪论1.1课题的研究背景和意义(1)1.2国内外研究概况(2