* * * * *
Clickity-click
> Li Zhuang, Feng Zhou, and Doug Tygar have an interesting new paper [1]
> showing that if you have an audio recording of somebody typing on an
> ordinary computer keyboard for fifteen minutes or so, you can figure out
> everything they typed. The idea is that different keys tend to make
> slightly different sounds, and although you don't know in advance which
> keys make which sounds, you can use machine learning to figure that out,
> assuming that the person is mostly typing English text. (Presumably it
> would work for other languages too.)
>
Via Robot Wisdom [2], “Acoustic Snooping on Typed Information [3]”
I may have to rethink the keyboards I use [4] …
[1]
http://www.cs.berkeley.edu/~tygar/papers/Keyboard_Acoustic_Emanations
[2]
http://www.robotwisdom.com/
[3]
http://www.freedom-to-tinker.com/?p=893
[4]
gopher://gopher.conman.org/0Phlog:2005/08/26.4
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