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2022 Abstracts

ACCess Granted: Inferring Mobile Device Keystrokes Using Background Accelerometer Data.

Presenter: Erick Gutierrez
Authors: Erick Gutierrez, David Gary, Ren Quinn
Faculty Advisor: Ren Quinn
Institution: Dixie State University

Accelerometers have become a common component in the mobile devices we use every day, and just like most data, many of the applications we use are able to access it. However, unlike the microphone and camera, there are no permission protocols protecting accelerometer data.. In this work, we collect accelerometer data on individual key presses when using a virtual on-screen keyboard. We then use that data to predict which key is pressed without acquiring the necessary security permissions to track keyboard inputs in the background. We explore how this information can be used to gather passwords and other sensitive information and emphasize the importance of required security permissions for accelerometer access.