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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: ASIA CCS '17 Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security, ACM, New York, NY, pp. 905–907.

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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 or Workshop Item
Copyright Holders: 2017 Copyright held by the owner/author(s)
ISBN: 1-4503-4944-7, 978-1-4503-4944-4
Project Funding Details:
Funded Project NameProject IDFunding Body
Adaptive Security And Privacy (XC-11-004-BN)291652EC (European Commission): FP (inc.Horizon2020, ERC schemes)
Keywords: IoT based smart environments; privacy; privacy ontologies
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
International Development & Inclusive Innovation
Health and Wellbeing PRA (Priority Research Area)
Related URLs:
Item ID: 49145
Depositing User: Arosha Bandara
Date Deposited: 10 Apr 2017 09:00
Last Modified: 07 Dec 2018 10:50
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