Location Privacy Preservation in Cognitive Radio Networks

Preface

Contents

Acronyms

Chapter1 Introduction

1.1 Cognitive Radio Networks on Licensed Bands

1.1.1 Spectrum Sensing

1.1.2 Collaborative Spectrum Sensing

1.1.3 Database-Driven Cognitive Radio Networks

1.2 Privacy Threats in Cognitive Radio Networks

1.2.1 Location Privacy

1.2.2 Location Privacy in Cognitive Radio Networks

1.2.3 Significance

Chapter2 Privacy Preservation Techniques

2.1 Anonymization and Spatial Cloaking

2.1.1 Anonymization Operations

2.1.2 Anonymization Privacy Models

2.2 Random Perturbation

2.2.1 Privacy Measure

2.3 Differential Privacy

2.3.1 Differential Privacy Model

2.3.2 Applying Differentially-Private to Set-Valued Data

2.3.3 Applying Differentially-Private to Histogram Data

2.4 Private Information Retrieval

Chapter3 Location Privacy Preservation in Collaborative Spectrum Sensing

3.1 Modeling Collaborative Spectrum Sensing

3.2 Location Privacy Attacks in Collaborative Spectrum Sensing

3.2.1 Attacks Under Single-Service-Provider Context

3.2.2 Attacks Under Multi-Service-Provider Context

3.3 Privacy Preserving Spectrum Sensing

3.3.1 Privacy Preservation Under Single-Service-Provider Context

3.3.2 Privacy Preservation Under Multi-Service-Provider Context

Chapter4 Location Privacy Preservation in Database-Driven Cognitive Radio Networks

4.1 Location Privacy Attacks in Database-Driven Cognitive Radio Networks

4.1.1 Potential Privacy Threats When the Databaseis the Adversary

4.1.2 Potential Privacy Threats When A Secondary User is the Adversary

4.2 Privacy Preserving Query for Database-Driven Cognitive Radio Networks

Chapter5 Future Research Directions

5.1 Distributed Cognitive Radio Networks

5.2 Privacy Preservation Against More Intelligent Adversaries

5.2.1 Modeling Privacy Threats

5.2.2 Modeling Interactions Between Users and Adversaries

References