Year: 2026
Type: article
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 $$100\%$$ 100 % accuracy, and 2) gain information about the approximate position of finger taps. Our findings underscore that the barometer sensor, often considered harmless, should be recognized as sensitive with regard to user privacy, and access to this sensor should be carefully managed.
Source: Cybersecurity
Authors: Alireza Hafez, Dorsa Nahid, Majid Khabbazian
Institution: University of Alberta
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7125255140