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Boffins convert typing sounds into text with 95% accuracy (www.theregister.com)

submitted 11 months ago by kpw@kbin.social to c/technology@lemmy.world

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Researchers in the UK claim to have translated the sound of laptop keystrokes into their corresponding letters with 95 percent accuracy in some cases.

That 95 percent figure was achieved with nothing but a nearby iPhone. Remote methods are just as dangerous: over Zoom, the accuracy of recorded keystrokes only dropped to 93 percent, while Skype calls were still 91.7 percent accurate.

In other words, this is a side channel attack with considerable accuracy, minimal technical requirements, and a ubiquitous data exfiltration point: Microphones, which are everywhere from our laptops, to our wrists, to the very rooms we work in.

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[–] autotldr@lemmings.world 3 points 11 months ago

This is the best summary I could come up with:

To make matters worse, the trio said in their paper that they've achieved what they claim is an accuracy record for acoustic side-channel attacks (ASCA) without relying on a language model.

Luckily in this case it's not power usage, CPU frequencies, blinking lights or RAM buses leaking data unavoidably, but a good old-fashioned problem occurring between the computer and chair that can actually be mitigated somewhat easily.

The researchers note that skilled users able to rely on touch typing are harder to detect accurately, with single-key recognition dropping from 64 to 40 percent at the higher speeds enabled by the technique.

Working among the clacking of phantom keyboards would surely annoy everyone, which is why the researchers suggest only adding the sounds to Skype and Zoom transmissions after they've been recording instead of subjecting employees to real-time noisemakers.

Followup research is now going on into using new sources for recordings, like smart speakers, better keystroke isolation techniques and the addition of a language model to make their acoustic snooping even more effective.

The original article contains 656 words, the summary contains 210 words. Saved 68%. I'm a bot and I'm open source!