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The next question is whether the password should be killed in the first place. And improvements to call quality might allow voice recognition tools to be more strict about how well someone’s voice has to match previous calls in order to access sensitive data.īiometrics might be the password-killer everyone wants.
Facial recognition gets better all the time.
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Fingerprint scanners might look beneath the skin to analyze someone’s veins or determine if someone’s using a fake print. Some companies are trying to improve biometrics to make them more secure. Anyone who’s worried about being specifically targeted - public figures, journalists, people with abusive partners - should avoid biometrics entirely and focus more on password-based systems. In Control Panel, select Ease of Access > Speech Recognition > Train your computer to better.
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The problem, he said, is that targeted attacks can take advantage of biometric systems with ease. Tip: If youve already set up speech recognition, pressing Windows logo key+Ctrl+S opens speech recognition and youre ready to use it.If you want to retrain your computer to recognize your voice, press the Windows logo key, type Control Panel, and select Control Panel in the list of results. The odds of a random person being able to access a phone they found on the street are pretty low. Michener said biometrics are good enough to protect against generalized attacks. This means that biometrics have the one-two punch of being easy for someone to steal and hard to change once they’ve been stolen. It’s far easier to change a password that’s been stolen as part of a website hack than it is to change a fingerprint, voice, or face. Both scenarios could allow them to be recorded.Īll of these biometric markers can be gathered with ease, and they can’t be changed once they’re compromised, at least not in a way that would allow someone to maintain access to existing systems. But many people also talk in public or over the phone. Many of the social tools for sharing voice - Snapchat, Instagram, iMessage - are ephemeral. Voice patterns are trickier to compromise. And that’s just online: Most people don’t cover their faces when they’re in public, and, anywhere in America, you can take a photo of someone else on the street or in any public place. Social media has made it so images of people’s faces are easy to find. Every time someone throws away a can of soda, opens a door, or simply interacts with the world around them, they’re undermining the security of anything protected with their fingerprint. Fingerprints can be gathered from images that anyone can find online, and they can also be picked up from many surfaces. Users interact with on-screen elements using a keyboard, a mouse, gestures, or touches, but the devices themselves rely on user input. Text remains the primary means of communication on both desktop and mobile platforms. This means they can be inconvenient - who remembers a password from a few years ago? - but it also means they’re harder to compromise when they’re used properly. Voice recognition technology has evolved, but most aspects of interface remain the same as they have been since early computers. They can be stored in password managers, or memorized, but they’re not physical objects. “Computers are 10,000 times faster now,” he said, which means someone will be able to modify their own voice to sound like their target’s with relative ease. Michener said he could “dynamically change one person’s voice to essentially any other person’s voice” in the ‘80s. Voice recognition software isn’t safe either. All it takes is a high-resolution photograph and some technical know-how to get past most systems with which the average person is likely to interact on any given day.
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Remember the movie trope about using a printed image to trick these systems? Turns out that it actually works, both for iris scanners and facial recognition tools. Other technology could impact its effectiveness, including recognizing body parts or how a person walks.įor the time being, though, the technology’s inadequacies and people’s reliance on it means facial recognition has room to grow and improve.Hackers can also work around iris scanners or facial-recognition tools.
Technology continues to evolveĪs facial recognition technology improves, its challenges will decrease. People wearing disguises or slightly changing their appearance can throw off facial recognition technology too. Other factors can affect the technology’s ability to recognize people’s faces, including camera angles, lighting levels and image or video quality. This issue is exasperated when you add that the technology struggles with people of color, which increases the potential for racial profiling accusations. Facial recognition software could improperly identify someone as a criminal, resulting in an arrest. There are inherent dangers in false positives.
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