TouchLogger: Inferring Keystrokes on Touch Screen from Smartphone Motion

By Liang Cai, Hao Chen. USENIX conference on Hot topics in security, 2011

456 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/8c8cf6ff0a88a5ae99360cada9afaf5439b61a8d

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Citations in the corpus

SoK: Privacy on Mobile Devices – It’s Complicated (2016, methodology): “Similarly, data from the device’s accelerometer and/or microphone has been leveraged to infer user key presses [4] and tap locations [3, 123] on the touch screen.”
You Are How You Touch: User Verification on Smartphones via Tapping Behaviors (2014, background): “However, given the same mobile device, behavioral biometrics tend to be less sensitive to the surrounding environmental factors like darkness or noise.”
A Comprehensive Study of Security of Internet-of-Things (2017, background): “In recent years, a few research efforts have attempted to shed light on unexpected uses of different types of environment-/ user-related data collected by Internet-connected sensors [156]–[159].”
Edge Computing Security: State of the Art and Challenges (2019, methodology): “Cai and Chen [74] showed that the tap keystrokes can be inferred using the smartphone accelerometer and gyroscope sensors.”
: Privacy on Mobile Devices – It ’ s Complicated (2016, methodology): “Similarly, data from the device’s accelerometer and/or microphone has been leveraged to infer user key presses [4] and tap locations [3, 123] on the touch screen.”
Tapprints: your finger taps have fingerprints (2012, result): “In parallel to our research, Cai et al. [6] and Owusu et al. [7] present, respectively, TouchLogger and ACCessory, both relying on the accelerometer for key press inference on soft-keyboards.”
DEEProtect: Enabling Inference-based Access Control on Mobile Sensing Applications (2017, background): “, Passwords or PINs) (sensitive inference) [91], [62], [13], [59].”
AccelPrint: Imperfections of Accelerometers Make Smartphones Trackable (2014, background): “Past work has demonstrated how accelerometers can leak information in smartphones – for instance, from accelerometer data gathered during typing, authors in [15], [16], [43] have shown that the typed characters, such as PIN numbers, can be inferred.”
ACCessory: password inference using accelerometers on smartphones (2012, methodology): “As in the work by Cai and Chen [5], we focus on inferring user keystrokes using only data acquired from the accelerometer in an Android smartphone device.”
TapLogger: inferring user inputs on smartphone touchscreens using on-board motion sensors (2012, methodology): “However, the differences between TapLogger and [5, 13] are significant.”