A data hiding approach for sensitive smartphone data

Chu Luo; Angelos Fylakis; Juha Partala; Simon Klakegg; Jorge Gonçalves; Kaitai Liang; Tapio Seppänen; Vassilis Kostakos

doi:10.1145/2971648.2971686

Conference presentation

A data hiding approach for sensitive smartphone data

Chu Luo, Angelos Fylakis, Juha Partala, Simon Klakegg, Jorge Gonçalves, Kaitai Liang, Tapio Seppänen and Vassilis Kostakos

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp.557-568

UbiComp2016 - 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (Heidelberg, Germany)

03/11/2017

DOI: https://doi.org/10.1145/2971648.2971686

Abstract

Smartphones; ubiquitous computing; privacy protections; digital signal processing; mobile and wireless security

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 privacysensitive data such as medical monitoring systems and digital forensics tools.

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Title: A data hiding approach for sensitive smartphone data
Creators: Chu Luo
Angelos Fylakis
Juha Partala
Simon Klakegg
Jorge Gonçalves
Kaitai Liang
Tapio Seppänen
Vassilis Kostakos
Publication Details: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp.557-568
Conference: UbiComp2016 - 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (Heidelberg, Germany)
Date submitted: 03/11/2017
Identifiers: 99513389802346
Copyright: Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Permissions@acm.org. UbiComp '16, September 12 - 16, 2016, Heidelberg, Germany Copyright is held by the owner/author(s). Publication rights licensed to ACM.
Academic Unit: Department of Computer Science
Resource Type: Conference presentation

A data hiding approach for sensitive smartphone data

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