K-VARP: K-anonymity for varied data streams via partitioning
نویسندگان
چکیده
منابع مشابه
Data Utility in Differential Privacy via Microaggregation-based k-Anonymity”
In addition to the general-purpose SSE-based utility evaluation conducted and discussed in the body of the article, in this appendix we provide evaluation results for a specific data use, namely counting queries. The reason of focusing on this data use is that many related works on differentially-private data publishing aim at preserving the utility for counting queries over protected data [12–...
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Privacy preservation is an important issue in the release of data for mining purposes. The k-anonymity model has been introduced for protecting individual identification. Recent studies show that a more sophisticated model is necessary to protect the association of individuals to sensitive information. In this paper, we propose an (α, k)-anonymity model to protect both identifications and relat...
متن کاملk-Anonymity
To protect respondents’ identity when releasing microdata, data holders often remove or encrypt explicit identifiers, such as names and social security numbers. De-identifying data, however, provide no guarantee of anonymity. Released information often contains other data, such as race, birth date, sex, and ZIP code, that can be linked to publicly available information to re-identify respondent...
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Protecting individual‟s privacy has become a major concern among privacy research community. Many frameworks and privacy principles were proposed for protecting the privacy of the data that is being released to the public for mining purpose. k-anonymization was the most popular among the proposed techniques in which the sensitive association between the sensitive attributes and their correspond...
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The explosion in volume and variety of data offers enormous potential for research and commercial use. Increased availability of personal data is of particular interest in enabling highly customised services tuned to individual needs. Preserving the privacy of individuals against reidentification attacks in this fast-moving ecosystem poses significant challenges for a one-size fits all approach...
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ژورنال
عنوان ژورنال: Information Sciences
سال: 2018
ISSN: 0020-0255
DOI: 10.1016/j.ins.2018.07.057