Smart Privacy Protection for Location-Based Services using Queueing Modelling

Chamana H Ram Sai Jeetesh,V.N Rama Devi,Kavitha Kayiram,Yerubandi Sai Sriram,S Tummala,P Bobba,S Kosaraju,S Singh

doi:10.1051/e3sconf/202018401066

Abstract

In the digital era, we are greatly dependent on the popular applications of the Location Based Services (LBS) in our day-to-day activities. The smart phone comes with a variety of applications which acquire the user location and build up user profile like the user activities, hobbies, places of visit, food orders etc. Such sensitive information in the LBS server can pose privacy risk for the user. To safe guard the user from such threat we propose a smart privacy protection technique in this paper that can conceal the user location when using the location based services. We adopt the generation of dummy locations to obfuscate the user original location from the LBS server. The server generates the result set for the dummy user locations. In this work we try to optimize the things at server as well as user ends with two objectives. The first goal is to work towards identifying the overlap in result sets and generate unique and reduced result set with which the communication load on the network can be reduced. The second goal is to prioritize the result set by Queuing model for the result set through which waiting time of the customer can be minimized. We have also illustrated that this model show good performance in terms of the reduced communication load through experimental results.

Highlights

With ever growing digital population, internet connectivity in every device and uninterrupted service the Location Based Services (LBS) [1] are in high use
To safe guard the user from such threat we propose a smart privacy protection technique in this paper that can conceal the user location when using the location based services
As the resultant set is large and the dummy users may not require all the Points of Interest (PoI) generated by the server, we have proposed a smart privacy protection scheme to optimize the dataset using the concept of queueing theory

Summary

Introduction

With ever growing digital population, internet connectivity in every device and uninterrupted service the Location Based Services (LBS) [1] are in high use. With LBS, we are able to navigate the geography and avail many other services at the tip of the finger. The smart phones are resource rich and able to offer many of its features based on user location information. The service providers are continuously monitoring the user requests and their device location for their business as well many third party servers are gathering user data and them to advertisers. This poses a threat for the user in sharing the location. Often based on the user location and services availed information the user movement profile can be built which poses a privacy risk. Without having to compromise on location privacy, still the LBS can be used to the full extent by giving user privacy in sharing the location

Objectives

Results

Conclusion