Measuring risk and utility in remote analysis and online data centres – why isn’t this problem already solved?
Duration: 60 mins
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About this item
| Description: |
O'Keefe, C (CSIRO Mathematics, Informatics and Statistics)
Thursday 7th July 2016 - 10:00 to 11:00 |
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| Created: | 2016-07-18 16:10 |
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| Collection: | Data Linkage and Anonymisation |
| Publisher: | Isaac Newton Institute |
| Copyright: | O'Keefe, C |
| Language: | eng (English) |
| Distribution: |
World
(downloadable)
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| Explicit content: | No |
| Aspect Ratio: | 16:9 |
| Screencast: | No |
| Bumper: | UCS Default |
| Trailer: | UCS Default |
| Abstract: | Remote analysis servers and online data centres have been around for quite a few years now, appearing both in the academic literature and in a range of large scale implementations. Such systems are considered to provide good confidentiality protection for protecting privacy in the case of data about people, and for protecting commercial sensitivity in the case of data about businesses and enterprises. A variety of different methods for protecting confidentiality in the outputs of such systems have been proposed and a range of them has been implemented and used in practice. However, much less common are quantitative assessments of risk to confidentiality, and usefulness of the system outputs for the purpose for which they are generated. Indeed, it has been suggested that perhaps such quantitative assessments are trying to measure the wrong things. In this talk we will provide an overview of the current state of literature and practice, and compare it with the overall problem o bjective with a view to determining key open challenges and research frontiers in the area, possibly within a redefined statement of the overall challenge. |
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