Abstract
Internet of Things (IoT) systems can often pose risk to users’ privacy via disclosure of personal information to third parties. In this paper, we argue that to assess privacy risks associated with IoT systems, an automated solution is required due to the increasing pervasiveness and complexity of deployed IoT systems. We propose requirements for an automated privacy risk assessment service and outline our
future plans for realising such a solution.
future plans for realising such a solution.
Original language | English |
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Title of host publication | M4IOT ’18: Workshop on Middleware and Applications for the Internet of Things |
Place of Publication | New York |
Publisher | ACM |
Pages | 15-18 |
Number of pages | 4 |
ISBN (Electronic) | 978-1-4503-6118-7 |
DOIs | |
Publication status | Published - 10 Dec 2018 |
Event | 5th International Workshop on Middleware and Applications for the Internet of Things - Rennes, France Duration: 10 Dec 2018 → 11 Dec 2018 |
Workshop
Workshop | 5th International Workshop on Middleware and Applications for the Internet of Things |
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Abbreviated title | M4IOT ’18 |
Country/Territory | France |
City | Rennes |
Period | 10/12/18 → 11/12/18 |
Bibliographical note
M4IOT 2018 - Proceedings of the 2018 Workshop on Middleware and Applications for the Internet of Things, Part of Middleware 2018 Conference 10 December 2018, Pages 15-182018 Workshop on Middleware and Applications for the Internet of Things,
M4IOT 2018, Part of Middleware 2018 Conference;
Rennes; France; 10 December 2018 through 11 December 2018;
Code 144683
The work described here was funded by the award made by the RCUK Digital Economy programme to the University of Aberdeen (EP/N028074/1) and City, University of London (EP/N028155/1).
Keywords
- Internet of Things
- Privacy risk
- provenance
- linked data