Analysis of k-anonymity algorithms for streaming location data


We propose and analyze algorithms to achieve k- anonymity for streaming location data. We consider a framework motivated by European Union privacy requirements, in which location information arrives online into a buffer of fixed size m. Whenever the buffer fills, some data must move to permanent storage in a k-anonymized fashion. This notion of anonymity… (More)
DOI: 10.1109/INFCOMW.2015.7442434


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