Abstract

With the rapid development of location-based services in the field of mobile network applications, users enjoy the convenience of location-based services on one side, and they are exposed to the risk of privacy disclosure on the other side. Attackers may attack based on the semantic of the user’s location and user’s query location. A few of existing works on location privacy protection consider to protect the user’s location and his query location simultaneously, while the query location may reflect his requirement. In this paper, based on the existing location privacy protection framework, we first generate sensitive weight documents based on the user’s sensitivity to different location semantics automatically, then obtain the best collaborative segment for k-anonymity of the user’s location by using the reinforcement learning algorithm, and finally, the bidirectional k-disturbance of the user’s location and query location is performed based on the location semantics in real road network environment. The experiment verifies the effectiveness of the proposed method.

Highlights

  • In recent years, with the increase of computing power and storage capacity of mobile computing equipment, mobile phones, vehicle terminals, and wearable intelligent devices become more and more popular

  • The research object of this paper is the location semantic information in the real road network, and roadi is used to denote the road information, where rid denotes the road number, Setadj denotes the number set of adjacent road, and Setsem denotes the collection of all location semantic on the road

  • 7 Conclusion In this paper, we propose a personalized location privacy protection framework based on location semantics

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Summary

Introduction

With the increase of computing power and storage capacity of mobile computing equipment, mobile phones, vehicle terminals, and wearable intelligent devices become more and more popular. Users can obtain related services based on their locations, which can be acquired by the inner GPS (Global Positioning System) in the mobile equipment. When using LBS, the user sends his own location information and service request to the location provider. 3.1 Location service framework and workflow this paper uses a semi-trusted anonymous server location service framework [43]. 3.2 Location semantic information Definition 1: location semantics. It represents the true meaning behind the location. The research object of this paper is the location semantic information in the real road network, and roadi (rid, Setadj,Setsem) is used to denote the road information, where rid denotes the road number, Setadj denotes the number set of adjacent road, and Setsem denotes the collection of all location semantic on the road

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