Cloning for privacy protection in multiple independent data publications
Paper
Paper/Presentation Title | Cloning for privacy protection in multiple independent data publications |
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Presentation Type | Paper |
Authors | Baig, Muzammil M. (Author), Li, Jiuyong (Author), Liu, Jixue (Author) and Wang, Hua (Author) |
Editors | Berendt, Bettina, de Vries, Arjen, Fan, Wenfei and Macdonald, Craig |
Journal or Proceedings Title | Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM 2011) |
ERA Conference ID | 42291 |
Number of Pages | 10 |
Year | 2011 |
Place of Publication | New York, NY, USA |
ISBN | 9781450307178 |
Digital Object Identifier (DOI) | https://doi.org/10.1145/2063576.2063705 |
Conference/Event | CIKM 2011: 20th ACM Conference on Information and Knowledge Management |
ACM International Conference on Information and Knowledge Management | |
Event Details | ACM International Conference on Information and Knowledge Management CIKM Rank A A A |
Event Details | CIKM 2011: 20th ACM Conference on Information and Knowledge Management Event Date 24 to end of 28 Oct 2011 Event Location Glasgow, United Kingdom |
Abstract | Data anonymization has become a major technique in privacy preserving data publishing. Many methods have been proposed to anonymize one dataset and a series of datasets of a data owner. However, no method has been proposed for the anonymization of data of multiple independent data publications. A data owner publishes a dataset, which contains overlapping population with other datasets published by other independent data owners. In this paper we analyze the privacy risk in the such scenario and vulnerability of partitioned based anonymization methods. We show that no partitioned based anonymization methods can protect privacy in arbitrary data distributions, and identify a case that the privacy can be protected in the scenario. We propose a new generalization principle -cloning to protect privacy for multiple independent data |
Keywords | security; integrity; protection |
ANZSRC Field of Research 2020 | 460599. Data management and data science not elsewhere classified |
460401. Cryptography | |
460499. Cybersecurity and privacy not elsewhere classified | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of South Australia |
Department of Mathematics and Computing | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q1300/cloning-for-privacy-protection-in-multiple-independent-data-publications
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