Article (Scientific journals)
Privacy Challenges in Ambient Intelligence Systems
Caire, Patrice; Moawad, Assaad; Efthymiou, Vasileios et al.
2016In Journal of Ambient Intelligence and Smart Environments
Peer Reviewed verified by ORBi
 

Files


Full Text
JAISE2016-privacyinAAL.pdf
Author preprint (851.35 kB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
Ambient assisted living; ambient intelligence systems; privacy
Abstract :
[en] Today, privacy is a key concept. It is also one which is rapidly evolving with technological advances, and there is no consensus on a single definition for it. In fact, the concept of privacy has been defined in many different ways, ranging from the “right to be left alone” to being a “commodity” that can be bought and sold. In the same time, powerful Ambient Intelligence (AmI) systems are being developed, that deploy context-aware, personalised, adaptive and anticipatory services. In such systems personal data is vastly collected, stored, and distributed, making privacy preservation a critical issue. The human- centred focus of AmI systems has prompted the introduction of new kinds of technologies, e.g. Privacy Enhancing Technologies (PET), and methodologies, e.g. Privacy by Design (PbD), whereby privacy concerns are included in the design of the system. One particular application field, where privacy preservation is of critical importance is Ambient Assisted Living (AAL). Emerging from the continuous increase of the ageing population, AAL focuses on intelligent systems of assistance for a better, healthier and safer life in their living environment. In this paper, we first build on our previous work, in which we introduced a new tripartite categorisation of privacy as a right, an enabler, and a commodity. Second, we highlight the specific privacy issues raised in AAL. Third, we review and discuss current approaches for privacy preservation. Finally, drawing on lessons learned from AAL, we provide insights on the challenges and opportunities that lie ahead. Part of our methodology is a statistical analysis performed on the IEEE publications database. We illustrate our work with AAL scenarios elaborated in cooperation with the city of Luxembourg.
Disciplines :
Computer science
Author, co-author :
Caire, Patrice ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Moawad, Assaad ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Efthymiou, Vasileios ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
bikakis, Antonis
Le Traon, Yves ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
yes
Language :
English
Title :
Privacy Challenges in Ambient Intelligence Systems
Publication date :
2016
Journal title :
Journal of Ambient Intelligence and Smart Environments
ISSN :
1876-1364
eISSN :
1876-1372
Publisher :
IOS Press, Amsterdam, Netherlands
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 02 April 2016

Statistics


Number of views
255 (7 by Unilu)
Number of downloads
910 (7 by Unilu)

Scopus citations®
 
14
Scopus citations®
without self-citations
13
WoS citations
 
9

Bibliography


Similar publications



Contact ORBilu