A data hiding approach for sensitive smartphone data
Luo, Chu; Fylakis, Angelos; Partala, Juha; Klakegg, Simon; Goncalves, Jorge; Liang, Kaitai; Seppänen, Tapio; Kostakos, Vassilis (2016-09-12)
Chu Luo, Angelos Fylakis, Juha Partala, Simon Klakegg, Jorge Goncalves, Kaitai Liang, Tapio Seppänen, and Vassilis Kostakos. 2016. A data hiding approach for sensitive smartphone data. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '16). ACM, New York, NY, USA, 557-568. DOI: http://dx.doi.org/10.1145/2971648.2971686
© Authors | ACM} 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '16). ACM, New York, NY, USA, 557-568, http://dx.doi.org/10.1145/2971648.2971686. Copyright is held by the owner/author(s). Publication rights licensed to ACM. Published in this repository with the kind permission of the publisher.
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https://urn.fi/URN:NBN:fi-fe201709048471
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Abstract
We develop and evaluate a data hiding method that enables smartphones to encrypt and embed sensitive information into carrier streams of sensor data. Our evaluation considers multiple handsets and a variety of data types, and we demonstrate that our method has a computational cost that allows real-time data hiding on smartphones with negligible distortion of the carrier stream. These characteristics make it suitable for smartphone applications involving privacy-sensitive data such as medical monitoring systems and digital forensics tools.
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