Titlebook: Handbook of Mobile Data Privacy; Aris Gkoulalas-Divanis,Claudio Bettini Book 2018 Springer Nature Switzerland AG 2018 Privacy.Anonymity.Mo

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Introduction to Mobility Data Privacy,location data can be collected and processed. Human mobility traces can be used to support a number of real-world applications spanning from urban planning and traffic engineering, to studying the spread of diseases and managing environmental pollution. At the same time, research studies have shown

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Privacy in Location-Sensing Technologieslick stream analysis to understand customer intentions. Meanwhile, retail companies transition to locating technologies like RFID to gain better control and visibility of the inventory in a store. To further exploit the potential of these technologies, retail companies invest in novel services for t

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Privacy Protection in Location-Based Services: A Surveyavigating and searching for resources in geographical space. This chapter provides a classification of location based services (LBS) and illustrates the privacy aspects involved in releasing our location information as part of a service request. It includes a discussion about legal obligations of th

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Location Privacy in Spatial Crowdsourcingmation. With SC, requesters outsource their spatiotemporal tasks (tasks associated with location and time) to a set of workers, who will perform the tasks by physically traveling to the tasks’ locations. However, current solutions require the locations of the workers and/or the tasks to be disclosed

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Privacy in Geospatial Applications and Location-Based Social Networksity of public location data sets. However, in addition to providing users with the ability to obtain accurate driving directions or the convenience of geo-tagging friends and pictures, location is also a very sensitive type of data, as attested by more than a decade of research on different aspects

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Privacy of Connected Vehiclesecause this technology relies on vehicles to broadcast their location in clear text, it also raises location privacy concerns. In this chapter, we discuss the connected-car ecosystem and its underlying privacy threats. We further present the privacy protection approach of short-term identifiers, cal

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