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Georgia Tech Turns iPhone Into spiPhone

A research team led by Patrick Traynor (Computer Science) has discovered how to program a smartphone to sense nearby keyboard vibrations and decipher complete sentences with up to 80 percent accuracy....

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Smart Phones Could Hear Your Password

The sensors inside modern smart phones present a range of security threats, and now the accelerometer is no exception. Used to detect when and how a phone is tilted, Patrick Traynor (Computer Science)...

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iPhone Keylogger Can Snoop on Desktop Typing

Patrick Traynor (Computer Science) and colleagues have discovered they can detect the vibrations caused by using a computer keyboard and read off what is being typed simply by placing a smartphone with...

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Your iPhone Could Be Used to Spy on Your PC Keystrokes

Patrick Traynor (Computer Science) says seemingly innocuous apps, once downloaded, could contain malware that would use smartphones' accelerometers to spy on nearby keyboards. Source: Wired

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Hackers Can Use Your Mobile ‘To Find Out What You Are Typing’

Smartphone users, beware! Hackers could use your mobile to find out what you are typing on a nearby computer at your workplace, says Patrick Traynor (Computer Science). Source: Zee News

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Researchers Discover Keyboard Keylogger Attack Via iPhone

By exploiting smartphones' accelerometers, hackers could detect and even decipher words typed on a nearby keyboard, says research by Patrick Traynor (Computer Science) and colleagues. Source: Network...

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Bad Vibrations: How Smart Phones Could Steal PC Passwords

Georgia Tech researchers led by Patrick Traynor (Computer Science) have discovered how smartphones' accelerometers on smart phones can collect meaningful data by sensing nearby keyboard vibrations....

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Clever Vibrational Hack Turns iPhone into spiPhone

The danger of smartphone accelerometers as a cyber-attack vector, says Patrick Traynor (Computer Science), is that applications typically can gain access to a phone's accelerometer without user...

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Georgia Tech Turns iPhone Into spiPhone

A research team led by Patrick Traynor (Computer Science) has discovered how to program a smartphone to sense nearby keyboard vibrations and decipher complete sentences with up to 80 percent accuracy....

View Article

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