Abstract Nearly all modern smartphones are now equipped with a barometer to sample air pressure. Accessing these samples is deemed harmless, hence does not require permission. In this work, we demonstrate that barometer samples can reveal sensitive information, particularly in smartphones with ingress protection. Using a support-vector machine (SVM) classifier, we demonstrate for the first time that barometer readings, even at a low sampling rate (25 Hz), can reveal smartphone speaker activity. In particular, our classifier achieves $$\ge 95\%$$ ≥ 95 % accuracy in detecting whether the speaker is silent or playing a ringtone. In addition, we show that low-rate barometer samples can be used to 1) detect touchscreen finger taps with nearly $$100\%$$
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