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.
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Communication dans un congrès
Silvio Ranise; Vipin Swarup. 30th IFIP Annual Conference on Data and Applications Security and Privacy (DBSec), Jul 2016, Trento, Italy. Springer International Publishing, Lecture Notes in Computer Science, LNCS-9766, pp.3-18, 2016, Data and Applications Security and Privacy XXX. 〈10.1007/978-3-319-41483-6_1〉
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Haritabh Gupta, Shamik Sural, Vijayalakshmi Atluri, Jaideep Vaidya. Deciphering Text from Touchscreen Key Taps. Silvio Ranise; Vipin Swarup. 30th IFIP Annual Conference on Data and Applications Security and Privacy (DBSec), Jul 2016, Trento, Italy. Springer International Publishing, Lecture Notes in Computer Science, LNCS-9766, pp.3-18, 2016, Data and Applications Security and Privacy XXX. 〈10.1007/978-3-319-41483-6_1〉. 〈hal-01633681〉

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