20 Dec Anonymized Mobile Data Still Prone to Privacy Risks, Experts Find
New research from the MIT and Imperial College of London revealed that there are still considerable risks involved in compiling massive, anonymized datasets which detail the movement patterns of individuals.
The researchers said that an attacker can identify an individual and learn sensitive information from them just by using a few randomly selected points in mobility datasets. This is done by merging one anonymized dataset with another that is not anonymized to reveal the hidden information.
Ratti, an MIT professor of Urban Studies and Planning and director of MIT’s Senseable City Lab, gave an example and said that if someone has his anonymized credit card information and perhaps his open location data from Twitter, they would be able to deanonymize his credit card data.
Source: Campus Technology