Spatial generalization has been recently proposed as a technique for the anonymization of requests in location based services. This paper provides a formal characterization of a privacy attack that has been informally described in previous work, and presents a new generalization algorithm that is proved to be a safe defense against that attack. The paper also reports the results of an extensive experimental study, comparing the new algorithm with the ones that have been previously proposed in the literature.
Spatial Generalization Algorithms for LBS Privacy Preservation / S. Mascetti, C. Bettini, D. Freni, X.S. Wang. - In: JOURNAL OF LOCATION BASED SERVICES. - ISSN 1748-9725. - 1:3(2007), pp. 4417161.179-4417161.207. [10.1080/17489720801941789]
Spatial Generalization Algorithms for LBS Privacy Preservation
S. MascettiPrimo
;C. BettiniSecondo
;D. FreniPenultimo
;
2007
Abstract
Spatial generalization has been recently proposed as a technique for the anonymization of requests in location based services. This paper provides a formal characterization of a privacy attack that has been informally described in previous work, and presents a new generalization algorithm that is proved to be a safe defense against that attack. The paper also reports the results of an extensive experimental study, comparing the new algorithm with the ones that have been previously proposed in the literature.
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