A Data Hiding Approach for Sensitive Smartphone Data
| Title | A Data Hiding Approach for Sensitive Smartphone Data |
| Publication Type | Conference Paper |
| Year of Publication | 2016 |
| Authors | Luo, Chu, Fylakis, Angelos, Partala, Juha, Klakegg, Simon, Goncalves, Jorge, Liang, Kaitai, Seppänen, Tapio, Kostakos, Vassilis |
| Conference Name | Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-4461-6 |
| Keywords | Digital signal processing, Human Behavior, Mobile and Wireless Security, Pervasive computing, Privacy Protections, pubcrawl, Resiliency, Scalability, smartphones, ubiquitous computing |
| 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. |
| URL | http://doi.acm.org/10.1145/2971648.2971686 |
| DOI | 10.1145/2971648.2971686 |
| Citation Key | luo_data_2016 |