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A Location Privacy-Protecting Neighbor Query Method Based on Feedback Angle

A technology of neighbor query and location protection, applied in the field of query, can solve the problems that trusted third-party servers are easy to become the bottleneck of the system and difficult to implement, and achieve the effects of reducing communication overhead, flexible control, and accurate query results

Active Publication Date: 2020-11-03
SOUTHEAST UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] From the perspective of query mode architecture, most of the spatial obfuscation and data transformation technologies rely on trusted third-party anonymous servers to participate in the query processing process in online or offline mode, which is difficult to implement and trusted third-party servers are likely to become system bottlenecks.

Method used

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  • A Location Privacy-Protecting Neighbor Query Method Based on Feedback Angle
  • A Location Privacy-Protecting Neighbor Query Method Based on Feedback Angle
  • A Location Privacy-Protecting Neighbor Query Method Based on Feedback Angle

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Embodiment 1

[0060] Location-based information services mainly rely on the user's real location p and the location of the data object. The latitude and longitude of a location can usually be represented by two-dimensional coordinates.

[0061] The server of this embodiment stores the location information of n data objects, and these n data objects constitute a 2-dimensional data set T; S is 2 that contains the n data objects, the anchor position q′, and the user's real position q. The dimensional area, that is, the anchor point position q'and the user's real position q are data points in the data space S.

[0062] System framework see Figure 4 , The client (used by the user) has a built-in device for wireless communication with the server. The server stores all data object information and can query and retrieve data objects, and the client can also query and retrieve data objects.

[0063] The spatial relationship between demand space and supply space in the execution process is such as Figure ...

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Abstract

The invention discloses a location privacy-protected neighbor query method based on feedback angles, aiming at the k-nearest neighbor query application that protects the location privacy of the queryer, and realizes the flexible control of the privacy security and query efficiency of the location disturbance method without the participation of any third party. At the same time provide precise query results. In the present invention, the query client sends feedback angle information to the LBS server without a trusted third party, and the LBS server filters the POI sent to the client after receiving the information, thereby reducing communication overhead and client computing overhead and can pass Setting the size of the feedback angle θ regulates the above two overheads. At the same time, the k-nearest neighbors of the queryer are included in the POI returned by the LBS server, so accurate query results can be provided.

Description

Technical field [0001] The invention relates to a query method, in particular to a neighbor query method based on a feedback angle to protect location privacy. Background technique [0002] The rapid development of mobile communication and spatial positioning technology has promoted the rise of location based services (LBS). K-nearest neighbor query is an important query service of location services, which refers to finding the k target objects closest to a queryer’s current location, for example Find the k restaurants or gas stations that are closest to the queryer. This service requires the inquirer to provide its accurate location to the service provider to obtain the inquiry result. Real-time location information contains user behavior patterns. As people pay more and more attention to the security of individual information, the security of user location is increasingly valued. Sending their location to service providers may lead to the leakage of individual users' private i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/06H04L29/08G01C21/30
CPCH04L63/0421G01C21/30H04L67/52
Inventor 倪巍伟
Owner SOUTHEAST UNIV
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