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In Table 2, the attacker learns something about the confidential attribute combination name/age.
Once the ciphertexts are distinguishable, BKD knowledge can be applied to reveal the confidential attribute values.
Probabilistic record protection: A CPI ensures only probabilistic record protection if an attacker might be able to infer confidential attribute combinations of a small set of records or narrow down the possible confidential attribute combinations of certain records.
When the order of the ciphertexts is known, BKS knowledge can be applied to reveal confidential attribute values.
Attribute disclosure happens when access to the released data gives the intruder a better knowledge about the value of a confidential attribute of a specific individual.
Computational record protection is ensured because the attacker only learns something about the confidential attribute combination name/salary if they know the encryption key for the encrypted salary values.
Similar(51)
More precisely, a specification of the function is sent to them which they may verify and apply to their quasi-identifying demographic variables prior to submitting the microaggregated data along with the confidential attributes to an authorized repository.
If some of the confidential attributes are shared between the data sets, the accuracy of the linkage improves.
In a k-anonymous data set, there is attribute disclosure if the variability of the confidential attributes in a k-anonymous group of records is small.
If we can guarantee that there are no overlapping subjects or confidential attributes in the k-anonymous data releases, k-anonymity is preserved.
Bob holds a similar but quite separate data collection, B, also containing one or more confidential attributes, B.a, B.b and so on.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com