Visible to the public A Data Hiding Approach for Sensitive Smartphone Data

TitleA Data Hiding Approach for Sensitive Smartphone Data
Publication TypeConference Paper
Year of Publication2016
AuthorsLuo, Chu, Fylakis, Angelos, Partala, Juha, Klakegg, Simon, Goncalves, Jorge, Liang, Kaitai, Seppänen, Tapio, Kostakos, Vassilis
Conference NameProceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-4461-6
KeywordsDigital signal processing, Human Behavior, Mobile and Wireless Security, Pervasive computing, Privacy Protections, pubcrawl, Resiliency, Scalability, smartphones, ubiquitous computing

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.

Citation Keyluo_data_2016