This paper provides a formal presentation of combining generalization and suppression to achieve k-anonymity. Generalization involves replacing (or recoding) a value with a less specific but semantically consistent value. Suppression involves not releasing a value at all.
to external information. This paper provides a formal presentation of achieving k-anonymity using generalization and suppression.
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This paper provides a formal presentation of combining generalization and suppression to achieve k-anonymity. Generalization involves replacing (or recoding) a ...
The most common implementations of k-anonymity use transformation techniques such as generalization, global recoding, and suppression.
This paper provides a formal presentation of combining generalization and suppression to achieve k-anonymity. Generalization involves replacing (or recoding) a ...
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This paper provides a formal presentation of combining generalization and suppression to achieve k-anonymity and shows that Datafly can over distort data ...
We illustrate how k-anonymity can be provided by using generalization and suppression techniques. We introduce the concept of minimal generalization, which.
Sweeney, Achieving k-Anonymity Privacy Protection. Using Generalization and Suppression, International. Journal on Uncertainty, Fuzziness, and Knowledge-based.
ACHIEVING k-ANONYMITY PRIVACY PROTECTION USING GENERALIZATION AND SUPPRESSION. International Journal on Uncertainty, Fuzziness and Knowledge-based Systems ...
This paper provides a formal presentation of combining generalization and suppression to achieve k-anonymity. Generalization involves replacing (or recoding) a ...
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