Anonymous User Tracking for Location-Based Community Services

Ruppel, Peter; Treu, Georg; Küpper, Axel; Linnhoff‐Popien, Claudia

doi:10.1007/11752967_9

Cited by 28 publications

(15 citation statements)

References 16 publications

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“…Our solution is fundamentally different from the previous solutions [10,8] because we employ encrypted coordinates to achieve strong privacy and yet the server can blindly detect proximity among the encrypted coordinates.…”

Section: Related Workmentioning

confidence: 99%

“…Recent solutions were proposed [10,8] to address location privacy in proximity detection. Ruppel et al [10] develop a centralized solution that applies a distance-preserving mapping (i.e., a rotation followed by a translation) to convert the user's location q into a transformed location q .…”

Section: Related Workmentioning

confidence: 99%

“…Ruppel et al [10] develop a centralized solution that applies a distance-preserving mapping (i.e., a rotation followed by a translation) to convert the user's location q into a transformed location q . Unfortunately, Liu et al [7] point out that distance-preserving mapping can be easily attacked.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

A Location Privacy Aware Friend Locator

Šikšnys

Thomsen

Šaltenis

et al. 2009

Advances in Spatial and Temporal Databases

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Abstract.A location-based service called friend-locator notifies a user if the user is geographically close to any of the user's friends. Services of this kind are getting increasingly popular due to the penetration of GPS in mobile phones, but existing commercial friend-locator services require users to trade their location privacy for quality of service, limiting the attractiveness of the services. The challenge is to develop a communication-efficient solution such that (i) it detects proximity between a user and the user's friends, (ii) any other party is not allowed to infer the location of the user, and (iii) users have flexible choices of their proximity detection distances. To address this challenge, we develop a client-server solution for proximity detection based on an encrypted, grid-based mapping of locations. Experimental results show that our solution is indeed efficient and scalable to a large number of users.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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A Location Privacy Aware Friend Locator

Šikšnys

Thomsen

Šaltenis

et al. 2009

Advances in Spatial and Temporal Databases

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“…Some work [16][17][18][19] has been done dealing with the problem of preserving privacy in proximity services. Proximity service is a sub-type of location sharing service which notifies and displays a friend's location if the friend is nearby.…”

Section: Related Workmentioning

confidence: 99%

Longitude: A Privacy-Preserving Location Sharing Protocol for Mobile Applications

Dong

Dulay

2011

Trust Management V

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This version is available at https://strathprints.strath.ac.uk/33983/ Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (https://strathprints.strath.ac.uk/) and the content of this paper for research or private study, educational, or not-for-profit purposes without prior permission or charge.Any correspondence concerning this service should be sent to the Abstract. Location sharing services are becoming increasingly popular. Although many location sharing services allow users to set up privacy policies to control who can access their location, the use made by service providers remains a source of concern. Ideally, location sharing providers and middleware should not be able to access users' location data without their consent. In this paper, we propose a new location sharing protocol called Longitude that eases privacy concerns by making it possible to share a user's location data blindly and allowing the user to control who can access her location, when and to what degree of precision. The underlying cryptographic algorithms are designed for GPS-enabled mobile phones. We describe and evaluate our implementation for the Nexus One Android mobile phone.

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“…At the time of writing, we are aware of only a few proposals for privacy-aware proximity detection [6,7,5].…”

Section: Introductionmentioning

confidence: 99%

Longitude: Centralized Privacy-Preserving Computation of Users’ Proximity

Mascetti

Bettini

Freni

2009

Lecture Notes in Computer Science

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Abstract. A "friend finder" is a Location Based Service (LBS) that informs users about the presence of participants in a geographical area. In particular, one of the functionalities of this kind of application, reveals the users that are in proximity. Several implementations of the friend finder service already exist but, to the best of our knowledge, none of them provides a satisfactory technique to protect users' privacy. While several techniques have been proposed to protect users' privacy for other types of spatial queries, these techniques are not appropriate for range queries over moving objects, like those used in friend finders. Solutions based on cryptography in decentralized architectures have been proposed, but we show that a centralized service has several advantages in terms of communication costs, in addition to support current business models. In this paper, we propose a privacy-aware centralized solution based on an efficient three-party secure computation protocol, named Longitude. The protocol allows a user to know if any of her contacts is close-by without revealing any location information to the service provider. The protocol also ensures that user-defined minimum privacy requirements with respect to the location information revealed to other buddies are satisfied. Finally, we present an extensive experimental work that shows the applicability of the proposed technique and the advantages over alternative proposals.

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Anonymous User Tracking for Location-Based Community Services

Cited by 28 publications

References 16 publications

A Location Privacy Aware Friend Locator

A Location Privacy Aware Friend Locator

Longitude: A Privacy-Preserving Location Sharing Protocol for Mobile Applications

Longitude: Centralized Privacy-Preserving Computation of Users’ Proximity

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