Privacy for location-based services
Author(s)
Bibliographic Information
Privacy for location-based services
(Synthesis lectures on information security, privacy, and trust, 4)
Morgan & Claypool, c2013
- : pbk
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Note
Includes bibliographical references (p. 67-71)
Description and Table of Contents
Description
Sharing of location data enables numerous exciting applications, such as location-based queries, location-based social recommendations, monitoring of traffic and air pollution levels, etc. Disclosing exact user locations raises serious privacy concerns, as locations may give away sensitive information about individuals' health status, alternative lifestyles, political and religious affiliations, etc. Preserving location privacy is an essential requirement towards the successful deployment of location-based applications. These lecture notes provide an overview of the state-of-the-art in location privacy protection. A diverse body of solutions is reviewed, including methods that use location generalization, cryptographic techniques or differential privacy. The most prominent results are discussed, and promising directions for future work are identified.
Table of Contents
Introduction
Privacy-Preserving Spatial Transformations
Cryptographic Approaches
Hybrid Approaches
Private Matching of Spatial Datasets
Trajectory Anonymization
Differentially Private Publication of Spatial Datasets
Conclusions
by "Nielsen BookData"