Enabling end-users to protect their privacy
Barhamgi, Mahmoud, Yang, Mu, Yu, Chia-Mu, Yu, Yijun, Bandara, Arosha K., Benslimane, Djamal and Nuseibeh, Bashar (2017) Enabling end-users to protect their privacy. In: Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security - ASIA CCS '17. ACM, New York, NY, USA, pp. 905-907. ISBN 978-1-4503-4944-4 (doi:https://doi.org/10.1145/3052973.3055154)
|
PDF (Author Accepted Manuscript)
19828 YANG_Enabling_End-Users_to Protect_their_Privacy_2017.pdf - Accepted Version Download (1MB) | Preview |
Abstract
In this paper we present our ongoing work to build an approach to empower users of IoT-based cyber physical systems to protect their privacy by themselves. Our approach allows users to identify the privacy risks involved in sharing private data with a data consumer, assess the value of their private data based on identified risks and take a pragmatic data sharing decision balancing the risks with the benefits generated by the sharing. Our approach features a knowledgebase, called the Privacy Oracle, that exploits the power of the Semantic Web to determine how raw metadata can be combined by data consumers to infer privacy-sensitive information as well as the privacy risks associated with the disclosure of inferred information.
Item Type: | Conference Proceedings |
---|---|
Title of Proceedings: | Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security - ASIA CCS '17 |
Additional Information: | Conference held from 02 - 06 April 2017, Abu Dhabi, United Arab Emirates. |
Uncontrolled Keywords: | IoT based smart environments; privacy; privacy ontologies |
Faculty / School / Research Centre / Research Group: | Faculty of Business Faculty of Business > Department of Systems Management & Strategy |
Last Modified: | 24 May 2018 13:54 |
URI: | http://gala.gre.ac.uk/id/eprint/19828 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year