%0 Conference Proceedings
%T Deciphering Text from Touchscreen Key Taps
%+ Indian Institute of Technology Delhi (IIT Delhi)
%+ Indian Institute of Technology Kharagpur (IIT Kharagpur)
%+ Rutgers University [Camden]
%A Gupta, Haritabh
%A Sural, Shamik
%A Atluri, Vijayalakshmi
%A Vaidya, Jaideep
%Z Part 1: Mobile Security and Privacy
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 30th IFIP Annual Conference on Data and Applications Security and Privacy (DBSec)
%C Trento, Italy
%Y Silvio Ranise
%Y Vipin Swarup
%I Springer International Publishing
%3 Data and Applications Security and Privacy XXX
%V LNCS-9766
%P 3-18
%8 2016-07-18
%D 2016
%R 10.1007/978-3-319-41483-6_1
%K Acoustic emanation
%K Touchscreen
%K Side-channel attack
%K Time Difference of Arrival (TDoA)
%K NLP
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%Z TC 11
%Z WG 11.3
%2 https://inria.hal.science/hal-01633681/document
%2 https://inria.hal.science/hal-01633681/file/428203_1_En_1_Chapter.pdf
%L hal-01633681
%U https://inria.hal.science/hal-01633681
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC11
%~ IFIP-WG11-3
%~ IFIP-DBSEC
%~ IFIP-LNCS-9766