Researchers from Cornell University have revealed a novel method of stealing sensitive information by using sound waves to decipher the keys pressed on a keyboard. This technique, known as an acoustic side-channel attack, involves using a deep learning model to classify laptop keystrokes based on the sound captured by a smartphone-integrated microphone.
The researchers conducted experiments using a MacBook Pro keyboard, training the deep learning classifier by recording the sounds of 36 different keys pressed 25 times each. The recorded sound data was collected through both a smartphone microphone and the Zoom video conferencing software.
