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submitted 1 year ago by L4s@lemmy.world to c/technology@lemmy.world

New acoustic attack steals data from keystrokes with 95% accuracy::A team of researchers from British universities has trained a deep learning model that can steal data from keyboard keystrokes recorded using a microphone with an accuracy of 95%.

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[-] quadropiss@lemmy.world 23 points 1 year ago

You have to train it on per device + per room basis and you don't give everything access to your microphones

[-] Sloogs@lemmy.dbzer0.com 12 points 1 year ago* (last edited 1 year ago)

I was just thinking, streamers might have to be careful actually — you can often both see and hear when they're typing, so if you correlated the two you could train a key audio → key press mapping model. And then if they type a password for something, even if it's off-screen from their stream, the audio might clue you in on what they're typing.

[-] quadropiss@lemmy.world 7 points 1 year ago

That could hypothetically be avoided by distorting the streamed audio just a tiny bit

[-] Sloogs@lemmy.dbzer0.com 5 points 1 year ago

Yeah. Or just use a password wallet.

[-] Mockrenocks@lemmy.world 4 points 1 year ago

Could be a fun honey pot.

this post was submitted on 06 Aug 2023
456 points (94.2% liked)

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