Privacy for location-based services /
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
[San Rafael, Calif.] :
Morgan & Claypool,
[2013]
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| Series: | Synthesis digital library of engineering and computer science.
Synthesis lectures on information security, privacy and trust ; # 4. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- 1. Introduction
- 2. Privacy-preserving spatial transformations
- 2.1 Two-tier spatial transformations
- 2.2 Three-tier spatial transformations
- 2.3 Discussion
- 3. Cryptographic approaches
- 3.1 A primer on computational PIR
- 3.2 Spatial queries with PIR
- 3.3 Protocols for approximate and exact NN with PIR
- 3.4 Comparison with geometric transformations
- 4. Hybrid approaches
- 4.1 Privacy model
- 4.2 System overview
- 4.3 Private evaluation of point-rectangle enclosure
- 4.4 Private evaluation of point-convex-polygon enclosure
- 5. Private matching of spatial datasets
- 5.1 Problem formulation
- 5.2 Dataset mapping
- 5.3 Join processing
- 5.4 Enhancing privacy by use of Chebyshev distance
- 6. Trajectory anonymization
- 6.1 Publishing independent location samples
- 6.2 Publishing individual trajectories
- 7. Differentially private publication of spatial datasets
- 7.1 A primer on differential privacy
- 7.2 Publication of static datasets of locations
- 7.2.1 Data-independent decompositions: quad-trees
- 7.2.2 Data-dependent decompositions: kd-trees
- 7.3 Publication of trajectory datasets
- 8. Conclusions
- Bibliography
- Author's biography.