Efficient Multidimensional Suppression for K-Anonymity
نویسندگان
چکیده
منابع مشابه
Multidimensional K-Anonymity
K-Anonymity has been proposed as a mechanism for privacy protection in microdata publishing, and numerous recoding “models” have been considered for achieving kanonymity. This paper proposes a new multidimensional model, which provides an additional degree of flexibility not seen in previous (single-dimensional) approaches. Often this flexibility leads to higher-quality anonymizations, as measu...
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Protecting privacy in microdata publishing is K-Anonymity, Here recoding “models” have been considered for achieving k anonymity[1,2]. We proposes a new multidimensional model, which gives high flexibility. Often this flexibility leads to higher-quality anonymizations, as measured both by general-purpose metrics and more specific notions of query answerability. Like previous multidimensional mo...
متن کاملAchieving Multidimensional K-Anonymity by a Greedy Approach
Protecting privacy in microdata publishing is K-Anonymity, Here recoding “models” have been considered for achieving k anonymity[1,2]. We proposes a new multidimensional model, which gives high flexibility. Often this flexibility leads to higher-quality anonymizations, as measured both by generalpurpose metrics and more specific notions of query answerability. Like previous multidimensional mod...
متن کاملAn efficient hash-based algorithm for minimal k-anonymity
A number of organizations publish microdata for purposes such as public health and demographic research. Although attributes of microdata that clearly identify individuals, such as name and medical care card number, are generally removed, these databases can sometimes be joined with other public databases on attributes such as Zip code, Gender and Age to reidentify individuals who were supposed...
متن کاملAchieving k-Anonymity Privacy Protection Using Generalization and Suppression
Often a data holder, such as a hospital or bank, needs to share person-specific records in such a way that the identities of the individuals who are the subjects of the data cannot be determined. One way to achieve this is to have the released records adhere to kanonymity, which means each released record has at least (k-1) other records in the release whose values are indistinct over those fie...
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ژورنال
عنوان ژورنال: IEEE Transactions on Knowledge and Data Engineering
سال: 2010
ISSN: 1041-4347
DOI: 10.1109/tkde.2009.91