Location privacy protection method and system based on collaborative positioning information

Abstract

The invention discloses a location privacy protection method and system based on collaborative positioning information. The method comprises the following steps: 1) obtaining the relationship strengthbetween a user and a friend according to historical interaction data; 2) storing a relationship strength value of the user and the friend in a database and periodically updating the database; 3) sending, by the user, a piece of shared content with geographic location information to a server; 4) extracting friend information (i.e., the collaborative positioning information) and the geographic location information from the shared content; 5) performing location privacy protection based on the relationship strength and the collaborative positioning information; and 6) sending a location privacyprotection result to the friend. According to the location privacy protection method and system disclosed by the invention, the influence of the interaction between the user and the friend and the interaction between the friend and the user on the relationship strength between the user and the friend are simultaneously considered, so that if the interaction frequency between the friend and the user is reduced, the relationship strength between the user and the friend is reduced.

Description

technical field [0001] The present invention relates to the technical field of location privacy protection, in particular to a location privacy protection method and system based on co-location information. Background technique [0002] With the popularization of mobile social networks, people are accustomed to sharing their location information in mobile social networks such as their circle of friends and Qzone. Different location privacy protection requirements. [0003] Moments and Qzone provide us with coarse-grained privacy protection methods, allowing users to set invisible groups for messages. Foreign applications such as Google Latitude allow users to blur the location information sent to the provincial and municipal level. [0004] At present, for the research on the privacy protection method of location privacy based on the relationship strength, the calculation method of the relationship strength includes calculating the relationship strength value through the c...

AI Technical Summary

Problems solved by technology

[0004] At present, for the research on the privacy protection method of location privacy based on the relationship strength, the calculation method of the relationship strength includes calculating the relationship strength value through the community recommendation score and the interaction between the user and the friend, but it does not take into account the interaction between the friend and the user. Impact on relationship strength or not correctly reflecting the impact of friend-user interactions on relationship strength

At the same time, existing location privacy protection methods, such as location privacy protection based on K anonymity, location privacy protection based on fake location, and location privacy protection based on attribute encryption, etc., take into account co-location information, due to the different privacy of different users Protection needs, when two users with different privacy protection needs send the same piece of location information, for their mutual friends, the privacy needs of users with high privacy protection needs will not be met

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