Hacking passwords by recording the sound of your keystrokes is nothing new, but researchers using AI have been able to do this with much more accuracy.
Computer scientists from Durham University, University of Surrey, and Royal Holloway University of London, have simulated a cyberattack where a deep learning model classified keystrokes using audio recordings from Zoom and smartphone microphone. When trained on keystrokes using Zoom, researchers achieved 93 percent accuracy, and using a smartphone, they achieved 95 percent accuracy. Using off-the-shelf equipment and software, they were able to show how this kind of attack is possible.
