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δ-Presence without Complete World Knowledge

delete2010-06-01
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M
Mehmet Ercan Nergiz *
C
Clifton, Christopher
DOI:10.1109/TKDE.2009.125delete
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摘要

摘要

En 中文
Advances in information technology, and its use in research, are increasing both the need for anonymized data and the risks of poor anonymization. In [1], we presented a new privacy metric, delta-presence, that clearly links the quality of anonymization to the risk posed by inadequate anonymization. It was shown that existing anonymization techniques are inappropriate for situations where delta-presence is a good metric (specifically, where knowing an individual is in the database poses a privacy risk). This article addresses a practical problem with [1], extending to situations where the data anonymizer is not assumed to have complete world knowledge. The algorithms are evaluated in the context of a real-world scenario, demonstrating practical applicability of the approach.
Keyword:
k-Anonymity
privacy
delta presence
medical databases
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期刊

IEEE Transactions on Knowledge and Data Engineering 封面图
IEEE Transactions on Knowledge and Data Engineering
IF:
10.4
论文数:
6.8K
被引数:
3.2W

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Purdue University System 封面图
Purdue University System
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3.9W
论文数: 3.6W
被引数: 66
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Sabanci University
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论文数: 2.6K
被引数: 12
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