1. 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.
2. The attack leverages the distinctive sound emissions of different keystrokes and the typing pattern of users captured by specialized software to gather a dataset.
3. The captured dataset includes typing samples under various conditions, so multiple typing sessions must be recorded, which is crucial for the attack's success.
4. For example, any recorded interval between A and B that falls between 95 milliseconds (100 - 5%) and 105 milliseconds (100 + 5%) could be considered a match.
5. 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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