Method for retrieving personalized privacy information on basis of data mapping

Abstract

The invention discloses a method for retrieving personalized privacy information on the basis of data mapping. The method includes acquiring retrieval reference columns by means of negotiation between buyers and sellers of data exchange platforms; carrying out pseudo-ID (identification) numbering on data records by the aid of the sellers and mapping data; carrying out encryption by the aid of irreversible encryption algorithms to obtain cipher texts of data of the reference columns; transmitting the cipher texts to the buyers; acquiring corresponding pseudo-ID by means of inquiry; generating (k-1)*M pieces of false pseudo-ID according to privacy requirement parameters; constructing k anonymity sets from the (k-1)*M pieces of false pseudo-ID and pseudo-ID corresponding to M required-to-be-retrieved data and transmitting the k anonymity sets to the sellers; transmitting data record sets to the buyers by the aid of the sellers; screening required-to-be-retrieved records from retrieval record sets according to pseudo-ID corresponding to data of real retrieval reference columns by the aid of the buyers so as to obtain retrieval results. The data record sets transmitted to the buyers are obtained by means of retrieval. The method has the advantage that retrieval contents and intention privacy of the buyers can be effectively protected by the aid of the method.

Description

technical field

[0001] The invention belongs to the technical field of information retrieval in data transactions, and more specifically, relates to a personalized privacy information retrieval method based on data mapping. Background technique

[0002] With the rapid development of network information technology, the demand for data in all walks of life continues to grow. Both in academia and industry hope to obtain data that can meet production and research, and data plays an increasingly important role in people's lives. more important role. Various industries such as government departments, commercial organizations or research institutions require a large amount of data input to meet various needs, but the data is complex and changeable. Therefore, various industries need to search for useful information from massive data to Meet your own needs. However, this may lead to the disclosure of the privacy of the individual query content and the commercial intention of the q...

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