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Finite State Machines: Preserving Privacy When Data-Mining Cellular Phone Networks

Finite State Machines: Preserving Privacy When Data-Mining Cellular Phone Networks During the last several years, researchers have begun to gain access to telecommunications data from cellular-network operators. This development heralds a methodological revolution in fields with complex and extensive data needs and the combination of continuous monitoring and real-time response would enable us to deploy increasingly intelligent infrastructure. However, when used as a research tool, the personal nature of the cellular phone raises new ethical questions regarding the trade-off between personal privacy and the public good. To date, models for mobile privacy have emerged primarily from the field of GPS studies. This article proposes a new approach, the use of Finite State Machines (FSMs), as a technique that is particularly suited to the specific computational and technical constraints of the cellular network. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Urban Technology Taylor & Francis

Finite State Machines: Preserving Privacy When Data-Mining Cellular Phone Networks

Journal of Urban Technology , Volume 17 (1): 12 – Apr 1, 2010
12 pages

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References (25)

Publisher
Taylor & Francis
Copyright
Copyright The Society of Urban Technology
ISSN
1466-1853
eISSN
1063-0732
DOI
10.1080/10630731003597314
Publisher site
See Article on Publisher Site

Abstract

During the last several years, researchers have begun to gain access to telecommunications data from cellular-network operators. This development heralds a methodological revolution in fields with complex and extensive data needs and the combination of continuous monitoring and real-time response would enable us to deploy increasingly intelligent infrastructure. However, when used as a research tool, the personal nature of the cellular phone raises new ethical questions regarding the trade-off between personal privacy and the public good. To date, models for mobile privacy have emerged primarily from the field of GPS studies. This article proposes a new approach, the use of Finite State Machines (FSMs), as a technique that is particularly suited to the specific computational and technical constraints of the cellular network.

Journal

Journal of Urban TechnologyTaylor & Francis

Published: Apr 1, 2010

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