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Preference-rated Privacy Protection Enabled Services Rating And Recommendation

Posted on:2019-04-04Degree:MasterType:Thesis
Country:ChinaCandidate:G Q TianFull Text:PDF
GTID:2348330542489051Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
Internet of things(IoT)can be regarded as a fully-inter-connected network between people-to-people,people-to-things and things-to-things according to agreed protocols.Improved by Semantic Web,IoT is evolved into Semantic Web of Things(SWoT),which semantically annotates IoT and supports user needs using ontologies.Nowadays,Internet Service Providers(ISP)provide powerful and diversified services,which can facilitates people's activities.While a user is enjoying a convenient service,some of his privacy information has to be provided to an ISP for service execution.Due to the autonomy and openness of service oriented environment,an ISP may access,operate and expose these privacy unauthorizedly,which will cause user privacy leakage and great distress to users' work and life.On the other hand,if a user refuse to disclose any privacy to ISP,then on-demand high-qualified services can not be provided,so how to balance user privacy and service quality is a very important problem.To solve this problem,a novle Preference-rated Privacy Protection enabled Services Rating and Recommendation framework(PPP-SRRF)is proposed in this paper,on which,an privacy protection based preference rating method is designed.Anonymizing users' informations with privacy protection method,then send these informations to service providers.Combining the semantic similarity of required service information which is service providers send back and ontology with a scoring function proposed in this paper,the service-related preference rating can be calculated,then the user can be delivered with the services meeting the needs of thier privacy protection and service quality.The specific process includes:(1)User requests service and provides user infomations to PPP-SRRF;(2)PPP-SRRF anonymizing users'informations and sends these informations to service providers,and service provider sends service sets to PPP-SRRF;(3)PPP-SRRF matches user preference with service information using ontologies,and rates the matched services;(4)Match service by the rated services;(5)Provid effectively-matched services to user.In view of functionality,PPP-SRRF can be divided into five modules,which includes:privacy protection,semantic similarity measuring,rating,service matching.By the service framework of PPP-SRRF,any user can be provided with better services in a privacy-be-fully-protected manner.
Keywords/Search Tags:privacy protection, internet of things, preference rating, similarity
PDF Full Text Request
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