research-article

Towards a scalable model for location privacy

Authors:

Nayot Poolsappasit,

Indrakshi RayAuthors Info & Claims

SPRINGL '08: Proceedings of the SIGSPATIAL ACM GIS 2008 International Workshop on Security and Privacy in GIS and LBS

Pages 46 - 51

https://doi.org/10.1145/1503402.1503412

Published: 04 November 2008 Publication History

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Abstract

With the growth of wireless and mobile technologies, we are witnessing an increase in location-based services (LBS). Although LBS provide enhanced functionalities, they open up new vulnerabilities that can be exploited to cause security and privacy breaches. Specifically, location data of individuals that are used by such services must be protected from security and privacy breaches. Such services will require new models for expressing privacy preferences for location data and mechanisms for enforcing them. We identify the factors on which location privacy depends and propose a scalable model for expressing privacy that can be used for LBS and other applications where the privacy of location information must be protected.

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Cited By

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Gupta ABhartiya R(2017)A result evaluation on anonymiser and active object based TTP location privacy framework2017 International Conference on Information, Communication, Instrumentation and Control (ICICIC)10.1109/ICOMICON.2017.8279149(1-6)Online publication date: Aug-2017
https://doi.org/10.1109/ICOMICON.2017.8279149
Gupta TNaik PMani Tripathi K(2017)Analysis of 2T 1D memory cell with various active capacitors2017 International Conference on Information, Communication, Instrumentation and Control (ICICIC)10.1109/ICOMICON.2017.8279129(1-6)Online publication date: Aug-2017
https://doi.org/10.1109/ICOMICON.2017.8279129
Guo MJin XPissinou NZanlongo SCarbunar BIyengar S(2015)In-Network Trajectory Privacy PreservationACM Computing Surveys10.1145/281818348:2(1-29)Online publication date: 12-Oct-2015
https://dl.acm.org/doi/10.1145/2818183
Show More Cited By

Index Terms

Towards a scalable model for location privacy
1. Security and privacy
2. Social and professional topics
  1. Computing / technology policy
    1. Computer crime

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Published In

SPRINGL '08: Proceedings of the SIGSPATIAL ACM GIS 2008 International Workshop on Security and Privacy in GIS and LBS

November 2008

94 pages

ISBN:9781605583242

DOI:10.1145/1503402

General Chairs:
Elisa Bertino
CERIAS, Purdue University, USA
,
Maria Luisa Damiani
Universita degli Studi di Milano, Italy

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 04 November 2008

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Air Force Office of Scientific Research

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SPRINGL 08

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CERIAS
OCR
SIGSPATIAL

SPRINGL 08: 2008 International Workshop on Security and Privacy in GIS and LBS

November 4, 2008

California, Irvine

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Gupta ABhartiya R(2017)A result evaluation on anonymiser and active object based TTP location privacy framework2017 International Conference on Information, Communication, Instrumentation and Control (ICICIC)10.1109/ICOMICON.2017.8279149(1-6)Online publication date: Aug-2017
https://doi.org/10.1109/ICOMICON.2017.8279149
Gupta TNaik PMani Tripathi K(2017)Analysis of 2T 1D memory cell with various active capacitors2017 International Conference on Information, Communication, Instrumentation and Control (ICICIC)10.1109/ICOMICON.2017.8279129(1-6)Online publication date: Aug-2017
https://doi.org/10.1109/ICOMICON.2017.8279129
Guo MJin XPissinou NZanlongo SCarbunar BIyengar S(2015)In-Network Trajectory Privacy PreservationACM Computing Surveys10.1145/281818348:2(1-29)Online publication date: 12-Oct-2015
https://dl.acm.org/doi/10.1145/2818183
Radics PGracanin DKafura D(2013)Preprocess before You BuildProceedings of the 2013 International Conference on Social Computing10.1109/SocialCom.2013.85(564-569)Online publication date: 8-Sep-2013
https://dl.acm.org/doi/10.1109/SocialCom.2013.85
Hu HXu J(2010)2PASSIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2010.2621:10(1458-1472)Online publication date: 1-Oct-2010
https://dl.acm.org/doi/10.1109/TPDS.2010.26
Poolsappasit NRay I(2009)Towards Achieving Personalized Privacy for Location-Based ServicesTransactions on Data Privacy10.5555/1556406.15564112:1(77-99)Online publication date: 1-Apr-2009
https://dl.acm.org/doi/10.5555/1556406.1556411

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Protecting location privacy using location semantics

Protecting Location Privacy with Personalized k-Anonymity: Architecture and Algorithms

A privacy-aware location cloaking technique reducing bandwidth consumption in location-based services

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