Linear SVM classification service query system and method with two-way privacy protection

Abstract

The present invention discloses a linear SVM (support vector machine) classification service query system and method with two-way privacy protection, for mainly solving the privacy protection problems of user query information and SVM model data which are not involved in the prior art. The system comprises a trusted authentication center, a classification query server and a user terminal. The trusted authentication center completes system initialization to provide registration and key distribution for the user terminal and the classification query server. The classification query server stores linear SVM classifier model data that have been establised, provides a classification query service of the privacy protection for the user terminal, and sends a query result to the user terminal. The user terminal sends a query service request to the classification query server, performs decryption and polynomial aggregation operation to the query result returned by the classification query server, and obtains final classification information. According to the system and the method provided by the present invention, the privacy protection of the user query information and the linear SVM model data is implemented. The system and the method can be used to provide a user with an online DNA query and a disease prediction service.

Description

technical field [0001] The invention belongs to the technical field of information security, and specifically relates to a privacy protection system and method for users and service providers, which can provide accurate and efficient classified query services for user terminals under the background of big data, and realize user terminal query information and service providers Effective privacy protection of data assets. Background technique [0002] With the advent of the era of big data, data mining algorithms have been more and more used by people. The support vector machine classification algorithm can deal with large data sets in high-dimensional space, and has been widely used in many fields, such as genetic matching , spam detection, financial forecasting, and more. In the traditional classification query service system, the service provider stores data resources. When the user terminal needs to query and perform classification query, it sends its own query informatio...

AI Technical Summary

Problems solved by technology

However, none of the existing technology based on support vector machine classification query service system involves the privacy protection of user query information and support vector machine model data

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