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Don M Dini

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“But this proved a minor stumbling block. When the authors mapped locations, dates, and prices of someone’s non-anonymous purchases against the whole database, it was usually easy to find a single, unique pattern. With three points or more, it was virtually a certainty. “You bought a coffee at that coffee shop, and you bought jeans at that shop, and then you bought a pizza,” says de Montjoye, by way of example. There’s a 94 percent chance that you’re the only person who did so. Taking away price altogether made these matches harder to find. But with four purchases, it was back up to 90 percent.”

De-anonymization of purchasing data.

Full story at The Verge. 

 

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PostedFebruary 3, 2015
AuthorDon Dini