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Research On Privacy Protection Method Based On Outsourcing Data Entry

Posted on:2019-01-25Degree:MasterType:Thesis
Country:ChinaCandidate:A D PangFull Text:PDF
GTID:2428330563958527Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of the global service outsourcing industry,many companies outsource non-core business to subcontractors.Data entry service is a service type in service outsourcing.It is characterized by a large amount of work and digital data entry.If the data to be input includes the privacy information of the user,there may be a problem that the privacy information of the user is leaked during data input.Therefore,it is necessary to take effective measures to protect privacy information.In this paper,the privacy information disclosure problems that may appear in the data entry process of service outsourcing are studied.It is found that the traditional privacy protection technology cannot fully meet the privacy information protection needs of the process.Therefore,this article proposes two privacy protection methods,which are the case where the relationship between the user's privacy information in the image is not clear and the relationship between the user's privacy information in the image is clear.The privacy protection method based on random distribution of outsourced data combines image segmentation algorithm,file name encryption algorithm,and random allocation algorithm.It is applicable to the case where the privacy information of users is not clearly related.The privacy protection method based on outsourced data separation and distribution mainly includes privacy association separation,sub-image encryption algorithms,and separationallocation algorithms.It is applicable to situations in which the user's private information has a clear association.Design experimental verification results,from time complexity,image segmentation accuracy,complete image non-acquisition rate,member privacy protection,identity privacy protection and attribute privacy protection.The experimental results show that the privacy protection method based on the random distribution of outsourced data can reduce the probability of leakage of user privacy in this situation when the association of user privacy information is not clear.For the case where the user privacy information has a clear association,the privacy protection method based on the separation and distribution of outsourced data can reduce the probability of leakage of user privacy in this case.
Keywords/Search Tags:Service Outsourcing, Data Entry, Privacy Protection, Image Segmentation, Privacy Information Association
PDF Full Text Request
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