Bookstore

This book provides a comprehensive study of the state of the art in location privacy for mobile applications. It presents an integrated five-part framework for location privacy research, which includes the analysis of location privacy definitions, attacks and adversaries, location privacy protection methods, location privacy metrics, and location-based mobile applications. In addition, it analyses the relationships between the various elements of location privacy, and elaborates on real-world attacks in a specific application. Furthermore, the book features case studies of three applications and shares valuable insights into future research directions. Shedding new light on key research issues in location privacy and promoting the advance and development of future location-based mobile applications, it will be of interest to a broad readership, from students to researchers and engineers in the field.

Location Privacy in Mobile Applications

1.        Introduction

1.1.              Definition of Location Privacy

1.2.              Location Privacy Risks: Attacks and Adversaries

1.3.              People's View About Location Privacy

1.4.              Practical Applications with Location Privacy Issues

1.5.              The Unified Location Privacy Research Framework

1.6.              Outline and Book Overview

 

 

2.        Location Privacy Preserving Mechanisms

2.1.              Introduction

2.2.              Cryptography-based Mechanism

2.3.              Anonymization Mechanism

2.4.              Obfuscation Mechanism

2.5.              Reducing Location Information Sharing

2.6.              Location Privacy Metrics and Performance Evaluations

2.7.              Comparisons and Discussions

 

3.        Location Privacy in Mobile Social Network Applications

3.1.              Introduction

3.2.              Sensitive Location Predication by Users' Social Network Data

3.3.              Protecting Important Locations in Social Networks

3.4.              Summary

 

4.        Location Privacy in Mobile Crowd Sensing Applications

4.1.              Introduction

4.2.              Related Works

4.3.              A Privacy Preserving Mobile Crowd Sensing Framework Based on Economic Modes

4.4.              Performance Evaluation

4.5.              Summary

 

5.        Location Privacy in Wireless Vehicular Networks

5.1.              Introduction

5.2.              Related Works

5.3.              Enhancing Privacy by Content Broadcasting and Active Caching

5.4.              Performance Evaluation

5.5.              Summary

 

 

6.        Future Directions and Conclusions

6.1.              Location Privacy Protection under Correlations

6.2.              Location Privacy in Big Data and Deep Learning Era

6.3.              Location Privacy in Autonomous Systems

6.4.              Conclusions