From Data Privacy to Location Privacy. Wang, T. & Liu, L. In Machine Learning in Cyber Trust, pages 217-247, 4, 2009. Springer. ![From Data Privacy to Location Privacy [link]](https://bibbase.org/img/filetypes/link.svg "link")
Website abstract bibtex Over the past decade, the research on data privacy has achieved consid- erable advancement in the following two aspects: First, a variety of privacy threat models and privacy principles have been proposed, aiming at providing sufficient protection against different types of inference attacks; Second, a plethora of algo- rithms and methods have been developed to implement the proposed privacy prin- ciples, while attempting to optimize the utility of the resulting data. The first part of the chapter presents an overview of data privacy research by taking a close ex- amination at the achievements from the above two aspects, with the objective of pinpointing individual research efforts on the grand map of data privacy protec- tion. As a special form of data privacy, location privacy possesses its unique char- acteristics. In the second part of the chapter, we examine the research challenges and opportunities of location privacy protection, in a perspective analogous to data privacy. Our discussion attempts to answer the following three questions: (1) Is it sufficient to apply the data privacy models and algorithms developed to date for protecting location privacy? (2) What is the current state of the research on loca- tion privacy? (3) What are the open issues and technical challenges that demand further investigation? Through answering these questions, we intend to provide a comprehensive review of the state of the art in location privacy research.
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abstract = {Over the past decade, the research on data privacy has achieved consid- erable advancement in the following two aspects: First, a variety of privacy threat models and privacy principles have been proposed, aiming at providing sufficient protection against different types of inference attacks; Second, a plethora of algo- rithms and methods have been developed to implement the proposed privacy prin- ciples, while attempting to optimize the utility of the resulting data. The first part of the chapter presents an overview of data privacy research by taking a close ex- amination at the achievements from the above two aspects, with the objective of pinpointing individual research efforts on the grand map of data privacy protec- tion. As a special form of data privacy, location privacy possesses its unique char- acteristics. In the second part of the chapter, we examine the research challenges and opportunities of location privacy protection, in a perspective analogous to data privacy. Our discussion attempts to answer the following three questions: (1) Is it sufficient to apply the data privacy models and algorithms developed to date for protecting location privacy? (2) What is the current state of the research on loca- tion privacy? (3) What are the open issues and technical challenges that demand further investigation? Through answering these questions, we intend to provide a comprehensive review of the state of the art in location privacy research.},
bibtype = {inProceedings},
author = {Wang, Ting and Liu, Ling},
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