Individuation privacy protection method for sensing semantic query based on road network

Abstract

The invention discloses an individuation privacy protection method for sensing a semantic query based on a road network, and relates to the technical field of services specially used for users or terminal locations. The method comprises the following steps that A, a mobile user sends a query request to a credible anonymous server; B, a knowledge base of the credible anonymous server firstly converts the real identifier of the user into a fake name; C, an anonymous engine in the credible anonymous server carries out anonymity processing on a service request based on an individuation-sensitivity anonymous model; D, an anonymous road segment set RS corresponding to the user u is found in an idlist by the credible anonymous server, and the query request carrying the anonymous road segment set is sent to a service provider. The method can solve the problem that individual privacy disclosure happens to the user in the road network under the conditions of providing location-based services and combining the semantic query, the identifier, location and sensitive information of the user are protected, and the user can enjoy the fast and safe location-based services.

Description

Technical field [0001] The present invention relates to the technical field of services dedicated to users or terminal locations, and in particular to a personalized privacy protection method based on road network perception query semantics. Background technique [0002] Generally speaking, there are three privacy protection goals in location services: First, location information, that is, hide the exact location of the query user. Exposing the user's exact location will result in the leakage of personal privacy information such as user behavior patterns, hobbies, health status, and political orientation. For example, Zhang San uses his mobile phone to find the "Address of 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 the user's other identification information, the identification of the query user is prevented from leaking. For example, the l...

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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