New Acoustic Attack Determines Keystrokes From Typing Patterns
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New Acoustic Attack Determines Keystrokes From Typing Patterns
- Researchers have demonstrated a new acoustic side-channel attack on keyboards that can deduce user input based on their typing patterns, even in poor conditions, such as environments with noise. Though the method achieves an average success rate of 43%, which is significantly lower than other methods presented in the past, it does not require controlled recording conditions or a specific typing platform. This makes it more applicable in real attacks, and depending on some target-specific parameters, it can produce enough reliable data to decipher the overall target's input with some post-capture analysis. The attack leverages the distinctive sound emissions of different keystrokes and the typing pattern of users captured by specialized software to gather a dataset. The target's typing may be recorded by using a concealed microphone near them or remotely using compromised devices in proximity, such as smartphones, laptops, or smart speakers.the researchers say the dataset doesn't have to be particularly large. The dataset is then used to train a statistical model that produces a comprehensive profile of the target's individual typing patterns based on the time intervals between keystrokes. The method predicts the typed text by analyzing audio recordings of keyboard activity, with the accuracy enhanced by filtering predictions through an English dictionary.
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