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Barhamgi, Mahmoud; Yang, Mu; Yu, Chia-Mu; Yu, Yijun; Bandara, Arosha K.; Benslimane, Djamal and Nuseibeh, Bashar
(2017).
DOI: https://doi.org/10.1145/3052973.3055154
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.
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About
- Item ORO ID
- 49145
- Item Type
- Conference or Workshop Item
- ISBN
- 1-4503-4944-7, 978-1-4503-4944-4
- Project Funding Details
-
Funded Project Name Project ID Funding Body Adaptive Security And Privacy (XC-11-004-BN) 291652 EC (European Commission): FP (inc.Horizon2020, ERC schemes) - Keywords
- IoT based smart environments; privacy; privacy ontologies
- Academic Unit or 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) - Copyright Holders
- © 2017 Copyright held by the owner/author(s)
- Related URLs
-
- http://asiaccs2017.com/(Other)
- Depositing User
- Arosha Bandara