HomeNews & EventsFollow the Smartphone

Follow the Smartphone

Submitted by mt53 on Wed, 2011-09-28 09:51

In an example of "reality mining" using GPS data from smartphones, master's student Utkarsh Shrivastava has found a way to rank businesses based on how busy they are at any given time. Source: Technology Review

Location: 
Atlanta, GA
Dateline: 
Thursday, April 15, 2010
Release: 
Thursday, April 15, 2010 - 15:46
Expire: 
Wednesday, July 14, 2010 - 15:46
 

Related News

Mobile Browsers Fail Georgia Tech Safety Test

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.
Georgia Tech Turns iPhone Into spiPhone

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?
Georgia Tech Releases Cyber Threats Forecast for 2012

ATLANTA – Oct. 11, 2011 – The year ahead will feature new and increasingly sophisticated means to capture and exploit user data, as well as escalating battles over the control of online information that threatens to compromise content and erode public trust and privacy. Those were the findings announced by the Georgia Tech Information Security Center (GTISC) and the Georgia Tech Research Institute (GTRI) in today's release of the Georgia Tech Emerging Cyber Threats Report for 2012.

Georgia Tech-Based Startup Wins Business Competition

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 Researchers Design System to Trace Call Paths Across Multiple Networks

ATLANTA – October 5, 2010 – Phishing scams are making the leap from email to the world’s voice systems, and a team of researchers in the Georgia Tech College of Computing has found a way to tag fraudulent calls with a digital “fingerprint” that will help separate legitimate calls from phone scams.