D2D Big Data Privacy-Preserving Framework Based on (a, k)-Anonymity Model
نویسندگان
چکیده
منابع مشابه
Research on Privacy Preserving on K-anonymity
The disclosure of sensitive information has become prominent nowadays; privacy preservation has become a research hotspot in the field of data security. Among all the algorithms of privacy preservation in data mining, K-anonymity is a kind of common and valid algorithm in privacy preservation, which can effectively prevent the loss of sensitive information under linking attacks, and it is widel...
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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...
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k-anonymity provides a measure of privacy protection by preventing re-identification of data to fewer than a group of k data items. While algorithms exist for producing k-anonymous data, the model has been that of a single source wanting to publish data. This paper presents a k-anonymity protocol when the data is vertically partitioned between sites. A key contribution is a proof that the proto...
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In this paper, k-anonymity notion is adopted to be used in wireless sensor networks (WSN) as a security framework with two levels of privacy. A base level of privacy is provided for the data shared with semitrusted sink and a deeper level of privacy is provided against eavesdroppers. In the proposed method, some portions of data are encrypted and the rest is generalized. Generalization shortens...
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Disclosure control has become inevitable as privacy is given paramount importance while publishing data for mining. The data mining community enjoyed revival after Samarti and Sweeney proposed k-anonymization for privacy preserving data mining. The k-anonymity has gained high popularity in research circles. Though it has some drawbacks and other PPDM algorithms such as l-diversity, t-closeness ...
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ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2019
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2019/2076542