A Personalized Privacy Preservation Method Based on Road Network Aware Query Semantics

Abstract

The invention discloses a personalized privacy protection method based on road network perception query semantics, and relates to the technical field of services specially used for user or terminal locations. It includes the following steps: Step A: The mobile user sends the query request to the trusted anonymous server; Step B: The knowledge base of the trusted anonymous server first replaces the user's real identity with a pseudonym; Step C: The anonymous engine in the trusted anonymous server is based on Personalized-sensitive anonymity model, which anonymizes the service request; step D: the trusted anonymous server finds the anonymous road segment set RS corresponding to user u from the idlist, and sends the query request with the anonymous road segment set to the service provider. The method can prevent users in the road network from leaking personal privacy due to the location-based service combined with query semantics, protect user identification, location and sensitive information, and allow users to enjoy fast and safe location-based services.

Description

technical field [0001] The present invention relates to the technical field of services specially used for user or terminal locations, and in particular to a personalized privacy protection method based on road network perception query semantics. Background technique [0002] Generally speaking, the privacy protection goals in location services include three types: first, location information, that is, to hide the exact location of the querying user. Exposing the exact location of users will lead to the leakage of personal privacy information such as user behavior patterns, hobbies, health conditions, and political leanings. For example, Zhang San uses his mobile phone to find "the address of the Bank of China closest to my location", Zhang San does not want anyone to know his current location (such as a hospital). Second, user identification, that is, when the attacker knows other identification information of the user, it prevents the leakage of the identification of the ...

AI Technical Summary

Problems solved by technology

Leakage of sensitive information based on location semantics, that is, publishing anonymous areas combined with public maps will cause user privacy leakage

like figure 1 As shown, user u 1 , u 2 , u 3 Form an anonymous set to satisfy the anonymity of position 3, but combined with the public map information, the anonymous set {u 1 , u 2 , u 3 }Published anonymous locations are completely covered in sensitive locations (hospitals), attackers can infer the health status of the three without knowing the specific location of the user, and the sensitive information of the user is leaked

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