δ-Risk: Towards context-aware multi-objective privacy management in connected environments

Bou-Chaaya, Karam, Chbeir, Richard, Alraja, Mansour Naser, Arnould, Philippe, Perera, Charith ORCID: https://orcid.org/0000-0002-0190-3346, Barhamgi, Mahmoud and Benslimane, Djamal 2021. δ-Risk: Towards context-aware multi-objective privacy management in connected environments. ACM Transactions on Internet Technology 21 (2) , 51. 10.1145/3418499

Preview

PDF - Accepted Post-Print Version Download (3MB) | Preview

Abstract

In today’s highly connected cyber-physical environments, users are becoming more and more concerned about their privacy and ask for more involvement in the control of their data. However, achieving effective involvement of users requires improving their privacy decision-making. This can be achieved by: (i) raising their awareness regarding the direct and indirect privacy risks they accept to take when sharing data with consumers; (ii) helping them in optimizing their privacy protection decisions to meet their privacy requirements while maximizing data utility. In this paper, we address the second goal by proposing a user-centered multiobjective approach for context-aware privacy management in connected environments, denoted

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Publisher:	Association for Computing Machinery (ACM)
ISSN:	1533-5399
Date of First Compliant Deposit:	24 August 2020
Date of Acceptance:	1 August 2020
Last Modified:	18 Nov 2024 05:45
URI:	https://orca.cardiff.ac.uk/id/eprint/134321

Citation Data

Cited 2 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item