Name
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2971648.2971686 | UbiComp |
Keywords | Field | DocType |
Smartphones, ubiquitous computing, privacy protections, digital signal processing, mobile and wireless security | Digital signal processing,Digital forensics,Computer science,Information hiding,Real-time computing,Encryption,Human–computer interaction,Data type,Ubiquitous computing,Information sensitivity,Distortion,Embedded system | Conference |
Citations | PageRank | References |
4 | 0.51 | 24 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chu Luo | 1 | 84 | 12.18 |
| Angelos Fylakis | 2 | 13 | 3.67 |
| Juha Partala | 3 | 11 | 4.41 |
| Simon Klakegg | 4 | 25 | 6.04 |
| Goncalves, J. | 5 | 404 | 42.24 |
| Kaitai Liang | 6 | 612 | 45.13 |
| Tapio Seppänen | 7 | 604 | 84.33 |
| Vassilis Kostakos | 8 | 1718 | 138.50 |