Researchers at the Universities of London, Durham and Surrey have developed a novel AI system that can eavesdrop on your keyboard to collect potentially sensitive data. The algorithm, presented in a new paper, was tested on a MacBook Pro keyboard and achieved 93-95% accuracy in detecting which keys were pressed based solely on audio recordings.

The research also illustrates how ubiquitous microphones are in phones, laptops and other devices, which could thus be utilized to compromise data security through acoustic side-channel attacks. While previous papers have explored laptop keystroke detection via audio, this AI-based approach achieves unprecedented levels of precision.

According to the researchers, their AI model also surpasses other hardware-based methods, which face distance and bandwidth constraints. With microphones embedded in common consumer devices, typing acoustics are more exposed and accessible than ever before.

So how does this new audio algorithm work? The researchers first recorded audio samples of typing on a MacBook Pro, pressing each key 25 times. This allowed the AI system to analyze the minute variations between the sound emanating from each key.

The audio recordings were then transformed into spectrograms, which are visual representations of sound frequencies over time. The AI model was trained on these spectrograms, learning to associate different patterns with different keystrokes.

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Author: Jose Antonio Lanz

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