Conference Proceedings

A data hiding approach for sensitive smartphone data

C Luo, A Fylakis, J Partala, S Klakegg, J Goncalves, K Liang, T Seppänen, V Kostakos

Ubicomp 2016 Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing | ASSOC COMPUTING MACHINERY | Published : 2016

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 privacysensitive data such as medical monitoring systems and digital forensics tools.

University of Melbourne Researchers

Grants

Awarded by Horizon 2020 Framework Programme


Funding Acknowledgements

This work is partially funded by Infotech Oulu, TEKES-funded VitalSens project, the Academy of Finland (Grants 276786-AWARE, 285062-iCYCLE, 286386-CPDSS, 285459-iSCIENCE), and the European Commission (Grants PCIG11-GA-2012-322138, 645706-GRAGE, and 6AIKA-A71143-AKAI).