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| Content Provider | ACM Digital Library |
|---|---|
| Author | Yang, Mu Yu, Yijun Benslimane, Djamal Barhamgi, Mahmoud Nuseibeh, Bashar Bandara, Arosha K. Yu, Chia-Mu |
| 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. |
| Starting Page | 905 |
| Ending Page | 907 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781450349444 |
| DOI | 10.1145/3052973.3055154 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-04-02 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Privacy Iot based smart environments Privacy ontologies |
| Content Type | Text |
| Resource Type | Article |
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