Reconstructing what you said: Text Inference using Smartphone Motion

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dc.contributor.authorHodges, Duncan
dc.contributor.authorBuckley, Oliver
dc.date.accessioned2018-10-19T13:16:50Z
dc.date.available2018-10-19T13:16:50Z
dc.date.issued2018-06-02
dc.description.abstractSmartphones and tablets are becoming ubiquitous within our connected lives and as a result these devices are increasingly being used for more and more sensitive applications, such as banking. The security of the information within these sensitive applications is managed through a variety of different processes, all of which minimise the exposure of this sensitive information to other potentially malicious applications on the device. This paper documents experiments with motion sensors on the device as a side-channel for inferring the text typed into a sensitive application. These sensors are freely accessible without the phone user having to give permission. The research was able to, on average, identify nearly 30% of typed bigrams from unseen words, using a very small volume of training data, less than the size of a tweet. Given the redundancy in language this performance is often enough to understand the phrase being typed. We found that large devices were more vulnerable than small devices, as were users who held the device in one hand whilst typing with fingers. Of those bigrams which were incorrectly identified 60% of the errors involved the space bar and nearly half of the errors are within two keys on the keyboard.en_UK
dc.identifier.citationDuncan Hodges and Oliver Buckley. Reconstructing what you said: text Inference using Smartphone Motion. IEEE Transactions on Mobile Computing, Volume 18, Issue 4, April 1 2019, pp. 947-959en_UK
dc.identifier.cris20963077
dc.identifier.issn1536-1233
dc.identifier.urihttp://doi.org/10.1109/TMC.2018.2850313
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/13551
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution 3.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/*
dc.subjectSensorsen_UK
dc.subjectKeyboardsen_UK
dc.subjectPerformance evaluationen_UK
dc.subjectMobile computingen_UK
dc.subjectSmart phonesen_UK
dc.subjectPressesen_UK
dc.subjectAccelerometersen_UK
dc.titleReconstructing what you said: Text Inference using Smartphone Motionen_UK
dc.typeArticleen_UK

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