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Privacy-aware Location Privacy Preference Recommendations

Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, 2014
Location-Based Services have become increasingly popular due to the prevalence of smart devices and location-sharing applications such as Facebook and Foursquare. The protection of people's sensitive location data in such applications is an important requirement.
Yuchen Zhao, Juan Ye, Tristan Henderson
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Wireless location privacy protection

Computer, 2003
After more than two decades of hype, computing and communication technologies are finally converging. Java-enabled cell phones run a host of powerful applications including mobile Internet access, while many notebook computers offer high-speed wireless connectivity as a standard feature.
Bill N. Schilit   +2 more
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Location privacy scheme for VANETs

2017 International Conference on Selected Topics in Mobile and Wireless Networking (MoWNeT), 2017
In Vehicular Ad Hoc Networks (VANETs), a vehicle could be identified and tracked by eavesdropping its messages (e.g., beacons) by an adversary, since these messages contain personal information such as the location of the vehicle. This attack leads to threats on the user's location privacy.
Ines Khacheba   +3 more
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Location privacy

2012
Όλο και περισσότερες εφαρμογές κάνουν χρήση δεδομένων θέσης με σκοπό την παροχή υπηρεσιών προς τους τελικούς πελάτες. Παραδείγματα τέτοιων υπηρεσιών αποτελούν οι υπηρεσίες δρομολόγησης (navigation) καθώς και η εμφάνιση πλησιέστερων σημείων ενδιαφέροντος (Points of Interest), αλλά και εφαρμογές επαυξημένης πραγματικότητας (AR). Ωστόσο αυτές οι υπηρεσίες
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Privacy in location-aware systems

SIGSPATIAL Special, 2009
As our world becomes more and more proliferated by sensors and mobile devices - often connected by wireless networks - there is the urging need to develop appropriate abstractions for application development and deployment. Those abstractions should shield applications from the physical properties of the devices thereby allowing applications to focus ...
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Privacy Preserving Location Recommendations

2017
With the rapid development of location based social networks (LBSN) and location based services (LBS), the location recommendation to users has gained much attentions. A traditional location recommendation scheme may use any of the following information to generate a location recommendation: users’ check-in frequencies on different locations, their ...
Shahriar Badsha   +5 more
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Location privacy

2018
Advances in technology have provided ways to measure driving behavior. Recently, this technology has been applied to usage-based automotive insurance. Policy holders may opt-in to monitoring for the hope of reduced insurance premiums. Although some of these monitoring devices are based upon GPS information and offer no location privacy protections ...
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Privacy and location anonymization in location-based services

SIGSPATIAL Special, 2009
This article presents an overview of privacy problems and solutions to data in location based services, with the emphasis on understanding location privacy issues, alternative models, and architectures. It concludes with an outlook in location privacy research and its impact on mobile Internet, pervasive computing, and geo-spatial data management.
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Locating Privacy: Geolocational Privacy from a Republican Perspective

This chapter outlines how a neo-republican theory of privacy can inform policy and scholarship related to location privacy and state surveillance based on the collection and processing of the geolocation data of individuals. It situates the location-related surveillance of the state, and the laws regulating these practices, within a republican critique
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Quantifying and Protecting Location Privacy

2013
Recent developments in information and communication technologies have been profound and life-changing. Most people are now equipped with smart phones with high computation power and communication capabilities. These devices can efficiently run multiple software applications in parallel, store a non-negligible amount of (personal) user data, process ...
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