Big data based position privacy protection system with homomorphic encryption mechanism

Abstract

The invention belongs to the technical field of privacy protection, and discloses a big data based position privacy protection system with a homomorphic encryption mechanism. The big data based position privacy protection system with the homomorphic encryption mechanism comprises a positioning module, a data transmission module, a central processing module, an encryption module, a data storage module, a position inquiry module and a display module. According to the invention, by the encryption module, in the same environment configuration, compared to the bootstrap process in an original scheme, the bootstrap process is reduced by 47%; safety of the scheme can be specified to the LWE problem, and can reach safety of 128 bits; and meanwhile, according to the invention, a cloud server and ahomomorphic encryption algorithm are introduced by the position inquiry module, a user can obtain a corresponding inquiry result only by implementing homomorphic encryption for once, homomorphic multiplication for once and subtraction operation for once, so that calculation cost of the user is reduced.

Description

technical field [0001] The invention belongs to the technical field of privacy protection, and in particular relates to a location privacy protection system based on a big data homomorphic encryption mechanism. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] With the popularization of mobile network technology and the rapid development of location detection equipment such as mobile phones, GPS, RFID, etc., it is possible for mobile users to query services at any time and place, and it has also spawned many location-based services. For example, query the nearest restaurants, gas stations, hospitals, supermarkets, etc., understand the nearby road conditions and traffic reports, and query the nearest business activities. These are all services based on location information. The most important thing for this type of service is to require the user's location information at that time. The user needs to pr...

AI Technical Summary

Problems solved by technology

[0007] The existing location privacy data encryption has low efficiency and low security; at the same time, in the existing location privacy protection, the location sent by the mobile user to the data service provider is a certain area, which increases the communication overhead; the existing location privacy protection introduces the first The third party generates and manages the key, which may cause some privacy leakage of mobile users

[0008] The higher grid density of the existing technology greatly increases the time for establishing the database, and also causes difficulties for the later database update, which makes the fingerprint positioning method have strong limitations in practical applications

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