Skip to Main content Skip to Navigation
Conference papers

Deciphering Text from Touchscreen Key Taps

Abstract : Exploiting acoustic emanations from electronic as well as mechanical devices as a means for side channel attack has recently emerged as a topic of security concern. In this paper, we present an attack methodology that can be used to extract the text typed by a user from the sound recorded by the built-in microphones of a mobile phone. We use signal processing techniques to initially extract a likely set of characters per tap on the touchscreen and then use natural language processing algorithms to find the most probable words and sentences that can be constructed from a given tap sequence. We also discuss the causes that result in this vulnerability and briefly present some countermeasures.
Document type :
Conference papers
Complete list of metadata

Cited literature [14 references]  Display  Hide  Download

https://hal.inria.fr/hal-01633681
Contributor : Hal Ifip <>
Submitted on : Monday, November 13, 2017 - 11:46:33 AM
Last modification on : Friday, August 9, 2019 - 3:24:28 PM
Long-term archiving on: : Wednesday, February 14, 2018 - 2:13:20 PM

File

428203_1_En_1_Chapter.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Haritabh Gupta, Shamik Sural, Vijayalakshmi Atluri, Jaideep Vaidya. Deciphering Text from Touchscreen Key Taps. 30th IFIP Annual Conference on Data and Applications Security and Privacy (DBSec), Jul 2016, Trento, Italy. pp.3-18, ⟨10.1007/978-3-319-41483-6_1⟩. ⟨hal-01633681⟩

Share

Metrics

Record views

115

Files downloads

296