Work

Geo-indistinguishability

Year: 2013

Type: conference-paper

Abstract: The growing popularity of location-based systems, allowing unknown/untrusted servers to easily collect huge amounts of information regarding users' location, has recently started raising serious privacy concerns. In this paper we introduce geoind, a formal notion of privacy for location-based systems that protects the user's exact location, while allowing approximate information -- typically needed to obtain a certain desired service -- to be released.

DOI: 10.1145/2508859.2516735

Authors: Miguel E. Andrés, Nicolás E. Bordenabe, Konstantinos Chatzikokolakis, Catuscia Palamidessi

Institutions: École Polytechnique, Institut national de recherche en sciences et technologies du numérique, Laboratoire d'Informatique de l'École Polytechnique, Centre National de la Recherche Scientifique

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Agence Nationale de la Recherche

Award: Parallel ANd Distributed Analysis

OpenAlex ID: W2082894754

FWCI: 26.29

Cites: 36

Cited by: 1,060

Related to: 10