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User’s Truthfulness Identification in Data Market


Author : Ms. Swati Phalke and Dr. Chaitanya Kulkarni

Pages : 240-245
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Abstract

Many of the online information systems have arisen as an important business model to meet the needs of society for a person-specific data, whereas the service provider receives raw data from the data contributors and then delivers value-added data services to the data users i.e. data consumer. Nonetheless, data users are confronted with a pressing problem in the data exchanging framework, that is, how to check that the service provider has obtained and stored data in a fair manner? In fact, data users are usually unable to reveal to data buyers their private personal data and actual identities. For big security problem which obtained for privacy use blockchain technology which is distributed in networks. Blockcnain-based verifying method can potentially help people to find out whether the data they obtain is precisely exactly what they expect. The suggested method that identifies participants is Truthfulness. In this system consumer buy product that he / she should give the system analysis to verify first whether or not the contributors are an approved individual.

Keywords: Data truthfulness, Privacy Preservation, Homomorphic Encryption, Identity Based Signature, Service Provider, Data Markets, Blockchain Technology.

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