A data hiding approach for sensitive smartphone data
Chu Luo, Angelos Fylakis, Juha Partala, Simon Klakegg, Jorge Gonçalves, Kaitai Liang, Tapio Seppänen, Vassilis Kostakos · 2016
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.