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Publication Detail
Finite State Machines: Preserving Privacy When Data-Mining Cellular Phone Networks
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Article
  • Authors:
    Reades J
  • Publisher:
    ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
  • Publication date:
    2010
  • Pagination:
    29, 40
  • Journal:
    J URBAN TECHNOL
  • Volume:
    17
  • Issue:
    1
  • Print ISSN:
    1063-0732
  • PII:
    920607180
  • Language:
    EN
  • Addresses:
    UCL
    Ctr Adv Spatial Anal
    Bartlett Sch Planning
    London
    WC1E 6BT
    England
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.
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