Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Adaptive Blurring of Sensor Data to balance Privacy and Utility for Ubiquitous Services
Moawad, Assaad; Hartmann, Thomas; Fouquet, François et al.
2015In The 30th Annual ACM Symposium on Applied Computing
Peer reviewed
 

Files


Full Text
PLA.pdf
Author preprint (1.18 MB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
Privacy; Blurring; Component-based architecture; Software-platform; Optimization; Sensors; Trade-off; Masking; Utility
Abstract :
[en] Given the trend towards mobile computing, the next generation of ubiquitous “smart” services will have to continuously analyze surrounding sensor data. More than ever, such services will rely on data potentially related to personal activities to perform their tasks, e.g. to predict urban traffic or local weather conditions. However, revealing personal data inevitably entails privacy risks, especially when data is shared with high precision and frequency. For example, by analyzing the precise electric consumption data, it can be inferred if a person is currently at home, however this can empower new services such as a smart heating system. Access control (forbid or grant access) or anonymization techniques are not able to deal with such trade-off because whether they completely prohibit access to data or lose source traceability. Blurring techniques, by tuning data quality, offer a wide range of trade-offs between privacy and utility for services. However, the amount of ubiquitous services and their data quality requirements lead to an explosion of possible configurations of blurring algorithms. To manage this complexity, in this paper we propose a platform that automatically adapts (at runtime) blurring components between data owners and data consumers (services). The platform searches the optimal trade-off between service utility and privacy risks using multi-objective evolutionary algorithms to adapt the underlying communication platform. We evaluate our approach on a sensor network gateway and show its suitability in terms of i) effectiveness to find an appropriate solution, ii) efficiency and scalability.
Disciplines :
Computer science
Author, co-author :
Moawad, Assaad ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Hartmann, Thomas ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Fouquet, François ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Klein, Jacques ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Le Traon, Yves ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
no
Language :
English
Title :
Adaptive Blurring of Sensor Data to balance Privacy and Utility for Ubiquitous Services
Publication date :
April 2015
Event name :
SAC 2015 - The 30th ACM/SIGAPP Symposium On Applied Computing
Event place :
Salamanca, Spain
Event date :
from 13-04-2015 to 17-04-2015
Audience :
International
Main work title :
The 30th Annual ACM Symposium on Applied Computing
Publisher :
ACM
ISBN/EAN :
9781450331968
Collection name :
Volume II, Software Platform track
Pages :
2271-2278
Peer reviewed :
Peer reviewed
Name of the research project :
R-AGR-0688-1 > C11/IS/1239572 : COPAINS > 01/01/2012 - 31/12/2014 > LE TRAON Yves
Funders :
FNR - Fonds National de la Recherche [LU]
Available on ORBilu :
since 23 May 2015

Statistics


Number of views
143 (15 by Unilu)
Number of downloads
269 (6 by Unilu)

Scopus citations®
 
2
Scopus citations®
without self-citations
2
OpenCitations
 
2

Bibliography


Similar publications



Contact ORBilu