- cross-posted to:
- hackernews@derp.foo
- cross-posted to:
- hackernews@derp.foo
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%.
Tangentially related: Did you know, that it‘s technically also possible to reconstruct sound via smartphone accelerometers and there‘s no restrictions on which apps can use it. Have fun with this info (:
Thanks, I hate it.
Reconstruct sound using smartphone accelerators? What do you mean? That accelerometers can act as speakers and produce sound? Or they can act as microphones and record sound as numerical data of vibrations etc? Can you point me to any articles or sources?
https://csl.illinois.edu/news/42303
Not the person you replied to, but a quick internet search resulted in that link.
SpyApp is spying in background
User thinks “why is battery draining so fast?”
Opens battery setting
Oh, this app shouldnt work right now
Restricts SpyApp’s battery permissions
Okay now show me the bad ending
are you saying that a cellphone accelerometer can be used as a microphone? That sounds… interesting. Do you have a source?
I am not the person you are replying to, but if the accelerometers are sensible enough, the vibration of the voice will be picked up by the accelerometer.
Since the sound we make when talking are periodical, it can probably easier to track that periodicity and reconstruct the sound from there.
It’s all my (un)educated guess.
Iirc on newer versions of Android there are restrictions on polling rate of sensor data