A New Mechanism for Encrypted Data with Efficient Privacy-Preserving Location-Based Query: EPLQ

Abstract

location-based services (LBS) were used in military only. Today, thanks to advance in communication technologies and information technologies, more kinds of location based services have appeared, and they are useful for not only organizations but also individuals. Mobile LBS are services enhanced with positional data, which are provided by mobile apps using GPS, Dmaps, and other techniques. Many mobile apps provide interesting and convenient lbs and functions. The mobile app Yelp recommends nearby shops, restaurants, etc. In the social network mobile app Loopt, the users receive notifications Whenever their friends are nearby. The mobile app Waze reports nearby traffic jams, gas stations and friends. Users can access these services via the desktop, mobile phone, Personal Digital Assistant pager, Web browser , or other devices. Diverse applications include fleet tracking, emergency dispatch, roadside assistance, navigation, and more. The aim of safe tourister application to outsource the location based service (LBS) data from the LBS provider to the cloud and from the cloud to the LBS provider which protects the privacy related issues of the LBS data. Initially LBS user query for a place to the LBS provider, LBS provider in turn upload the details to the cloud but in the form of encrypted text to prevent the cloud from stealing the data. LBS users in turn decrypt the details by the personal password send by the LBS provider to the LBS user. When the query of the LBS user matches the details in the cloud the LBS user will retrieve the details and make use of it. In this application it is shown with the demo of a tourist requesting for tourist places tourist is the LBS user and admin is the LBS provider .With the pervasiveness of smart phones, location based services have received considerable attention and become more popular and vital recently. However, the use of LBS also has a potential threat to user’s location privacy. In this paper, aiming at spatial range query, popular LBS providing information About Points of Interest, we present an effective and privacy-preserving LBS solution, called EPLQ. To reduce query latency, we further design a privacy-preserving tree index structure in EPLQ. Detailed security analysis confirms the security properties of EPLQ.