Worried about privacy on the Internet ? It may be even risky than you recall – with chop-chop improving face recognition technology , your mechanically tagged Facebook pic could help a stranger , or the authorities , quicklyidentify you on the street .
A simple organization that compares Facebook pictures and webcam snapshots can make a positively charged match after less than three moment , according to Carnegie Mellon University investigator . Alessandro Acquisti and colleagues presented their findings at the Black Hat computer security league in Las Vegas .
“ A stranger could acknowledge your last tweet just by front at you , ” Acquisti toldCNET ’s concealment blog .
The system of rules was able to correlate Facebook visibility pictures to webcam shots , and to otherwise anonymous photos on a see website . The Facebook - webcam system of rules identified about 31 percent of users , and only 10 percentage of the dating situation users , but the substance was clear – anonymity is becoming hard and harder to asseverate .
This can be problematic for several reasons , not the least of which is the damage that can be done by mistaken identity . Computer system that put thewrong name to a facecan lawsuit cephalalgia or bad . But in unproblematic terms , do median Facebook users really require random mass to find out their e - mail addresses and phone turn simply by looking at their nerve ?
Google engineers have discussedhypotheticallyusing its own this technology for such a purpose , but say they have no plans to actually do it .
Acquisti , an selective information applied science and public policy professor , made a database of about 25,000 photo taken from CMU student ’ Facebook profiles , CNET explains . Acquisti had military volunteer peer into a webcam , and facial recognition software connected their images to their Facebook profiles . The system made a successful designation for 31 pct of the bookman after less than three second gear . The team also compared about 278,000 Facebook painting to 6,000 dating website visibility pictures , in which the penis used pseudonyms , and about one in 10 were identifiable , CNET says .
Then the CMU researcher also developed an iPhone app that work the same way , running a photo through facial recognition software and display that person ’s name and information on the screen .
The system only works with front - facing picture , and it would want to be refined , but as technology improves it will only get easy , Acquisti state .
[ CNET ]
picture viaBrian Teutschvia Flickr . This berth earlier appeared onPopular Science .
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