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Towards a scalable model for location privacy
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Geographic Information Systems archive
Proceedings of the SIGSPATIAL ACM GIS 2008 International Workshop on Security and Privacy in GIS and LBS table of contents
Irvine, California
SESSION: Location privacy table of contents
Pages 46-51  
Year of Publication: 2008
ISBN:978-1-60558-324-2
Authors
Nayot Poolsappasit  Colorado State University, Fort Collins, CO
Indrakshi Ray  Colorado State University, Fort Collins, CO
Sponsors
SIGSPATIAL : ACM Special Interest Group on Spatial Information
CERIAS : The Center for Education and Research in Information Assurance and Security
OCR : IBM Open Collaboartive Research Initiative
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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I. Smith, S. Consolvo, J. Hightower, J. Hughes, G. Iachello, A. LaMarca, J. Scott, T. Sohn, and G. Abowd. Social Disclosure of Place: From Location Technology to Communication Practice. Proceedings of the 3rd International Pervasive Computing Conference, pages 134--151, 2005.
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Collaborative Colleagues:
Nayot Poolsappasit: colleagues
Indrakshi Ray: colleagues