iSpy: Using Reflections To Spy On iPhones

[Nytro]

iSpy: Using Reflections To Spy On iPhones

Rahul Raguram, Andrew M. White, Dibenyendu Goswami,

Fabian Monrose and Jan-Michael Frahm

Department of Computer Science, University of North Carolina at Chapel Hill

Chapel Hill, North Carolina

{rraguram,amw,dgoswami,fabian,jmf}@cs.unc.edu

ABSTRACT

We investigate the implications of the ubiquity of personal

mobile devices and reveal new techniques for compromising

the privacy of users typing on virtual keyboards. Speci-

cally, we show that so-called compromising re

ections (in,

for example, a victim's sunglasses) of a device's screen are

suficient to enable automated reconstruction, from video, of

text typed on a virtual keyboard. Despite our deliberate use

of low cost commodity video cameras, we are able to com-

pensate for variables such as arbitrary camera and device

positioning and motion through the application of advanced

computer vision and machine learning techniques. Using

footage captured in realistic environments (e.g., on a bus),

we show that we are able to reconstruct

uent translations of

recorded data in almost all of the test cases, correcting users'

typing mistakes at the same time. We believe these results

highlight the importance of adjusting privacy expectations

in response to emerging technologies.

Download:

http://dl.packetstormsecurity.net/papers/general/CCS2011.pdf

Sursa: iSpy: Using Reflections To Spy On iPhones ? Packet Storm