patrick traynor

Georgia Tech-Based Startup Wins Business Competition


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May 25, 2011

Pindrop Security, a new company based on technology developed by School of Computer Science researchers to verify caller ID, has won the 2011 GRA/TAG Business Launch Competition.

Georgia Tech Turns iPhone Into spiPhone


Patrick Traynor, assistant professor in the School of Computer Science, and colleagues have programmed smartphones to use their accelerometers to detect and decipher strokes on nearby keyboards with up to 80 percent accuracy.

October 16, 2011

ATLANTA – Oct. 18, 2011 – It’s a pattern that no doubt repeats itself daily in hundreds of millions of offices around the world: People sit down, turn on their computers, set their mobile phones on their desks and begin to work. What if a hacker could use that phone to track what the person was typing on the keyboard just inches away?

Mobile Browsers Fail Georgia Tech Safety Test


Patrick Traynor, assistant professor in the School of Computer Science, and Ph.D. student Chaitrali Amrutkar discovered that mobile browsers are inconsistent in implementing the standards for security indicators recommended by the World Wide Web Consortium.

December 4, 2012

ATLANTA – Dec. 5, 2012 – How unsafe are mobile browsers? Unsafe enough that even cyber-security experts are unable to detect when their smartphone browsers have landed on potentially dangerous websites, according to a recent Georgia Tech study.

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 approval. Source: Science a Go Go

Location: 
Atlanta, GA
Release: 
Thursday, October 20, 2011 - 10:08
Expire: 
Wednesday, January 18, 2012 - 10:08

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. Source: Government Computer News

Location: 
Atlanta, GA
Release: 
Thursday, October 20, 2011 - 10:03
Expire: 
Wednesday, January 18, 2012 - 10:03

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 World

Location: 
Atlanta, GA
Release: 
Thursday, October 20, 2011 - 10:23
Expire: 
Wednesday, January 18, 2012 - 10:23

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

Location: 
Atlanta, GA
Release: 
Thursday, October 20, 2011 - 10:17
Expire: 
Wednesday, January 18, 2012 - 10:17

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

Location: 
Atlanta, GA
Release: 
Thursday, October 20, 2011 - 10:12
Expire: 
Wednesday, January 18, 2012 - 10:12

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 a keylogging app on the desk nearby. Source: New Scientist

Location: 
Atlanta, GA
Release: 
Tuesday, October 18, 2011 - 15:11
Expire: 
Monday, January 16, 2012 - 15:11

Georgia Tech Turns iPhone Into spiPhone

Subtitle: 
Smartphones’ accelerometer can track strokes on nearby keyboards
Summary Sentence: 
Smartphones can be programmed to sense nearby keyboard vibrations and decipher sentences.

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. Source: Office of Communications

Location: 
Atlanta, GA
Contact: 

Michael Terrazas

404-245-0707

mterraza [at] cc [dot] gatech [dot] edu

Release: 
Monday, October 17, 2011 - 16:39
Expire: 
Sunday, January 15, 2012 - 16:39
Media Item: 
71541
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