Visible to the public Biblio

Filters: Author is Goncalves, Jorge  [Clear All Filters]
2017-09-05
Luo, Chu, Fylakis, Angelos, Partala, Juha, Klakegg, Simon, Goncalves, Jorge, Liang, Kaitai, Seppänen, Tapio, Kostakos, Vassilis.  2016.  A Data Hiding Approach for Sensitive Smartphone Data. Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. :557–568.

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.

2017-08-22
Luo, Chu, Fylakis, Angelos, Partala, Juha, Klakegg, Simon, Goncalves, Jorge, Liang, Kaitai, Seppänen, Tapio, Kostakos, Vassilis.  2016.  A Data Hiding Approach for Sensitive Smartphone Data. Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. :557–568.

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.