TY - JOUR
T1 - Privacy Risk Awareness in Wearables and the Internet of Things
AU - Psychoula, Ismini
AU - Chen, Liming (Luke)
AU - Amft, Oliver
AU - Laerhoven, Kristof Van
N1 - Funding Information:
This work was supported by the European Union Horizon 2020 MSCA ITN ACROSSING Project (GA 676157).
Publisher Copyright:
© 2002-2012 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/8/3
Y1 - 2020/8/3
N2 - Day to day interactions with wearable and pervasive systems lead to collected data that capture various aspects of human behavior and enable machine learning algorithms to extract extensive information about users. We discuss privacy risk awareness, and ways to preserve privacy and integrate it in current frameworks.
AB - Day to day interactions with wearable and pervasive systems lead to collected data that capture various aspects of human behavior and enable machine learning algorithms to extract extensive information about users. We discuss privacy risk awareness, and ways to preserve privacy and integrate it in current frameworks.
UR - http://www.scopus.com/inward/record.url?scp=85089670938&partnerID=8YFLogxK
U2 - 10.1109/MPRV.2020.2997616
DO - 10.1109/MPRV.2020.2997616
M3 - Article
VL - 19
SP - 60
EP - 66
JO - IEEE Pervasive Computing
JF - IEEE Pervasive Computing
SN - 1536-1268
IS - 3
M1 - 9154758
ER -