Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Your Moves, Your Device: Establishing Behavior Profiles Using Tensors
Falk, Eric; Charlier, Jérémy Henri J.; State, Radu
2017In Advanced Data Mining and Applications - 13th International Conference, ADMA 2017
Peer reviewed
 

Files


Full Text
ADMA_108.pdf
Publisher postprint (996.46 kB)
Request a copy

All documents in ORBilu are protected by a user license.

Send to



Details



Abstract :
[en] Smartphones became a person's constant companion. As the strictly personal devices they are, they gradually enable the replacement of well established activities as for instance payments, two factor authentication or personal assistants. In addition, Internet of Things (IoT) gadgets extend the capabilities of the latter even further. Devices such as body worn fitness trackers allow users to keep track of daily activities by periodically synchronizing data with the smartphone and ultimately with the vendor's computational centers in the cloud. These fitness trackers are equipped with an array of sensors to measure the movements of the device, to derive information as step counts or make assessments about sleep quality. We capture the raw sensor data from wrist-worn activity trackers to model a biometric behavior profile of the carrier. We establish and present techniques to determine rather the original person, who trained the model, is currently wearing the bracelet or another individual. Our contribution is based on CANDECOMP/PARAFAC (CP) tensor decomposition so that computational complexity facilitates: the execution on light computational devices on low precision settings, or the migration to stronger CPUs or to the cloud, for high to very high granularity. This precision parameter allows the security layer to be adaptable, in order to be compliant with the requirements set by the use cases. We show that our approach identifies users with high confidence.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Services and Data management research group (SEDAN)
Disciplines :
Computer science
Author, co-author :
Falk, Eric ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Charlier, Jérémy Henri J. ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
State, Radu  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
no
Language :
English
Title :
Your Moves, Your Device: Establishing Behavior Profiles Using Tensors
Publication date :
November 2017
Event name :
Advanced Data Mining and Applications - 13th International Conference, ADMA 2017
Event date :
from 05-11-2017 to 06-11-2017
Audience :
International
Main work title :
Advanced Data Mining and Applications - 13th International Conference, ADMA 2017
ISBN/EAN :
978-3-319-69178-7
Pages :
460-474
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Available on ORBilu :
since 06 November 2017

Statistics


Number of views
115 (15 by Unilu)
Number of downloads
4 (3 by Unilu)

Scopus citations®
 
0
Scopus citations®
without self-citations
0

Bibliography


Similar publications



Contact ORBilu