(sp)iPhone: decoding vibrations from nearby keyboards using mobile phone accelerometers
By Philip Marquardt, A. Verma, Henry Carter, Patrick Traynor. Conference on Computer and Communications Security, 2011
319 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, Signal Processing
View Paper: https://www.semanticscholar.org/paper/5ae4418004b629d609aacc0ddfcd7bd5383e54b2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Sencun Zhu
- Supriyo Chakraborty
- Changchang Liu
- Prateek Mittal
- Kang G. Shin
- Kevin Fu
- Richard Shay
- Nitesh Saxena
In Information Systems
- Prateek Mittal
- Kang G. Shin
- Supriyo Chakraborty
- Richard Shay
- Nitesh Saxena
- Changchang Liu
- Adrian Perrig
- Romit Roy Choudhury
In Signal Processing
- Prateek Mittal
- Kevin Fu
- Kang G. Shin
- Supriyo Chakraborty
- Richard Shay
- Changchang Liu
- Adrian Perrig
- Romit Roy Choudhury
Citations in the corpus
- SoK: Privacy on Mobile Devices – It’s Complicated (2016, background): “, taps [3, 4], keypresses [5], position [6, 7, 9, 10], current activity [11]).”
- ACCessory: password inference using accelerometers on smartphones (2012, methodology): “(sp)iPhone uses motion sensors in the iPhone 4 to infer keystrokes of nearby laptop users [13].”
- : Privacy on Mobile Devices – It ’ s Complicated (2016, background): “, taps [3, 4], keypresses [5], position [6, 7, 9, 10], current activity [11]).”
- Activity recognition with smartphone sensors (2014, methodology): “[73, 74], where the user’s typing pattern is learned via accelerometer reading and the learned patterns will be used to infer the user’s typing on the screen.”
- Spearphone: A Speech Privacy Exploit via Accelerometer-Sensed Reverberations from Smartphone Loudspeakers (2019, background): “This could cause sensitive information leakage on mobile devices [9], [3], [10], [5], [11].”
- TapLogger: inferring user inputs on smartphone touchscreens using on-board motion sensors (2012, background): “Categories and Subject Descriptors C.2.m [Computer-Communication Networks]: Miscellaneous; C.2.0 [General]: Security and protection General Terms Security, Design, Experimentation Keywords Smartphone, Trojan, Motion Sensor, Accelerometer Sensor, Orientation Sensor, User Inputs Logger,…”
- Continuous Authentication for Voice Assistants (2017, background): “Researchers have studied the potential applications of accelerometers for human behavior analysis [3, 24, 34, 42].”
- DEEProtect: Enabling Inference-based Access Control on Mobile Sensing Applications (2017, background): “, Passwords or PINs) (sensitive inference) [91], [62], [13], [59].”
- WALNUT: Waging Doubt on the Integrity of MEMS Accelerometers with Acoustic Injection Attacks (2017, methodology): “Recent studies show that gyroscopes and accelerometers can leak personal information [12], [13], [14], [15], [16].”
- 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.”
- Tapprints: your finger taps have fingerprints (2012, background): “With the support of a dictionary over partially inferred words, further accuracy gains are possible as shown in [19].”