Li Zhuang, Feng Zhou, and Doug Tygar have an interesting new paper 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, Acoustic Snooping on
Typed Information
I may have to rethink the keyboards
I use …
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