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

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)29-40
Number of pages12
JournalJOURNAL OF URBAN TECHNOLOGY
Volume17
Issue number1
Early online date30 Mar 2010
DOIs
Publication statusPublished - Apr 2010

King's Authors

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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