A new study by MIT scientists has found that metadata provides enough information to identify consumers in anonymous data sets. Aviva Rutkin writes for New Scientist that “for 90 per cent of people, just four pieces of information about where they had gone on what day was enough to pick out which card record was theirs.”
In this video, Robert Lee Hotz of The Wall Street Journal discusses how MIT researchers have found that individuals in an anonymous data set can be identified using just a few pieces of information about their shopping habits. “We're really being shadowed by our credit cards,” Lee Hotz explains.
A new MIT study examining anonymous credit card data shows that individuals can be identified using just a few pieces of information, writes Wall Street Journal reporter Robert Lee Hotz. “This touches on the fundamental limit of anonymizing data,” explains Yves-Alexandre de Montjoye.
In a piece for Scientific American, Larry Greenemeier writes about new MIT research showing how easy it is to identify individuals in anonymous data sets. “We have to think harder and reform how we approach data protection and go beyond anonymity, which is very difficult to achieve given the trail of information we all leave digitally,” says Yves-Alexandre de Montjoye.
MIT researchers were able to accurately identify individuals in an anonymous data set by looking at the date and location of four credit card transactions, reports Boer Deng for Nature. “Even when researchers only had estimates of time and location of a purchase to within a few days or neighbo[u]rhood blocks, they could still identify cardholders,” explains Deng.
Rebecca Jacobson writes for the PBS NewsHour about how MIT researchers have found that individuals in anonymous data sets can be identified using just a few pieces of outside information. The researchers found that there is a “94 percent chance of tracking all of your purchases with three pieces of extra information.”
Seth Borenstein and Jack Gillum write for the Associated Press about how MIT researchers have found individuals can be identified by examining a few purchases from anonymous credit card data. "We are showing that the privacy we are told that we have isn't real," explains Pentland.
MIT researchers have found that anonymous individuals in a data set can be identified using a few pieces of information, reports Natasha Singer for The New York Times. “We ought to rethink and reformulate the way we think about data protection,” explains Yves-Alexandre de Montjoye.
Cory Bennett of The Hill writes about a broad effort to tackle cybersecurity challenges at MIT, Stanford and Berkeley. “MIT will examine the immediate policy concerns, such as how to protect vulnerable financial and medical data, as well as emerging technologies like self-driving cars and drones,” explains Bennett.
BostInno’s Elise Harmon writes that a $15 million grant from the William and Flora Hewlett Foundation to MIT could “help pave the way for a comprehensive cybersecurity policy.” The gift to MIT is part of $45 million in total to MIT, Stanford and UC Berkeley as part of the foundation’s Cyber Initiative.
MIT’s Daniel Weitzner speaks with BetaBoston’s Nidhi Subbaraman about a new cybersecurity policy initiative supported by the Hewlett Foundation. Weitzner explains that researchers will examine what kind of laws and public policy are needed to make “[technologies] more trustworthy.”
Katie Collins writes for Wired that MIT researchers have developed a system that allows people to choose exactly what information they share online. “The primary benefit of this is that you as an individual would not be able to be identified from an anonymised dataset,” writes Collins.