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Location-dependent privacy

2016 IEEE 55th Conference on Decision and Control (CDC), 2016
We study the problem of releasing private data where the severity of the privacy concerns depends on the data itself. As a working example, we focus on the problem where a user shares an approximation of her private GPS location with a location-based service under privacy constraints that depend on the population density at user's current location ...
Fragkiskos Koufogiannis   +1 more
openaire   +1 more source

Location Obfuscation for Location Data Privacy

2015 IEEE World Congress on Services, 2015
Advances in wireless internet, sensor technologies, mobile technologies, and global positioning technologies have renewed interest in location based services (LBSs) among mobile users. LBSs on smartphones allow consumers to locate nearby products and services, in exchange of their location information.
Vaibhav Ankush Kachore   +2 more
openaire   +1 more source

Location privacy revisited

CHI '13 Extended Abstracts on Human Factors in Computing Systems, 2013
The privacy problems associated with disclosing location information have repeatedly been the subject of research during the past decade. Yet, only the increasing adoption of smartphones today unveils real world implications, since a large number of users currently use location-based services and GPS-enabled devices for a multitude of purposes ...
Benjamin Henne   +2 more
openaire   +2 more sources

Location Privacy in Bluetooth

2005
We discuss ways to enhance the location privacy of Bluetooth. The principal weakness of Bluetooth with respect to location privacy lies in its disclosure of a device’s permanent identifier, which makes location tracking easy. Bluetooth’s permanent identifier is often disclosed and it is also tightly integrated into lower layers of the Bluetooth stack ...
Ford-Long Wong, Frank Stajano
openaire   +1 more source

Middleware for location privacy

Proceedings of the 2012 ACM Research in Applied Computation Symposium, 2012
As context-aware mobile applications become increasingly common, privacy issues hit headlines again. Users are faced with a trade-off. On one hand, releasing information about their location allows them to take advantage of new location-based services. On the other hand, releasing such information raises privacy issues about the potential inadequate or
Adrian Holzer   +2 more
openaire   +1 more source

Location Privacy

2009
In this chapter, the author raises a number of issues surrounding the ever-growing capabilities of geoinformatics. Location privacy can be defined as the claim of individuals to determine for themselves when, how, and to what extent information about their geographic location is communicated to others.
ARMENIA S   +4 more
openaire   +3 more sources

A Framework for Personalized Location Privacy

IEEE Transactions on Mobile Computing, 2022
Location privacy has been one of the most important research areas over recent years, and many location Privacy Preserving Mechanisms (PPMs) have been proposed. Each PPM typically achieves certain tradeoffs between privacy protection and resource consumption, and no PPM performs perfectly in all cases.
Ben Niu   +5 more
openaire   +1 more source

A survey of computational location privacy

Personal and Ubiquitous Computing, 2008
This is a literature survey of computational location privacy, meaning computation-based privacy mechanisms that treat location data as geometric information. This definition includes privacy-preserving algorithms like anonymity and obfuscation as well as privacy-breaking algorithms that exploit the geometric nature of the data.
John Krumm
exaly   +2 more sources

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