"While there were no names or phone numbers in the data, we were once again able to connect dozens of devices to their owners, tying anonymous locations back to names, home addresses, social networks and phone"
That's pretty interesting. it makes me wonder what sorts of things aside from the obvious things like home addresses, work addresses, favorite pubs, etc, can de-anonymize data.
I suppose they could use whatever that is to de-anonymize burner phones. Maybe something like identifiable driving patterns, similar to how we have individually identifiable gaits when we walk.
Taxi records from NYC were de-anonymized with just a few origins and destinations, which caused a bit of scandal when some celebs were found to be poor tippers. (Tips were also in the dataset.) https://www.fastcompany.com/3036573/nyc-taxi-data-blunder-re...
That's pretty interesting. it makes me wonder what sorts of things aside from the obvious things like home addresses, work addresses, favorite pubs, etc, can de-anonymize data.
I suppose they could use whatever that is to de-anonymize burner phones. Maybe something like identifiable driving patterns, similar to how we have individually identifiable gaits when we walk.