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Enabling end-users to protect their privacy

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)

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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 / Department / Research Group: Faculty of Business
Faculty of Business > Department of Systems Management & Strategy
Last Modified: 24 May 2018 13:54
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/19828

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