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.

DOI (Digital Object Identifier) Link:	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 or Workshop Item

2017 Copyright held by the owner/author(s)

ISBN:

1-4503-4944-7, 978-1-4503-4944-4

Project Funding Details: