An Effective Data Transformation Approach for Privacy Preserving Clustering
نویسندگان
چکیده
منابع مشابه
An Effective Data Transformation Approach for Privacy Preserving Clustering
A new stream of research privacy preserving data mining emerged due to the recent advances in data mining, Internet and security technologies. Data sharing among organizations considered to be useful which offer mutual benefit for business growth. Preserving the privacy of shared data for clustering was considered as the most challenging problem. To overcome the problem, the data owner publishe...
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Numerous organizations collect and share large amounts of data due to the proliferation of information technologies and internet. The information extracted from these databases through data mining process may reveal private information of individuals. Privacy preserving data mining is a new research area, which allows sharing of privacy-sensitive data for analysis purpose. In this paper a hybri...
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Despite its benefit in a wide range of applications, data mining techniques also have raised a number of ethical issues. Some such issues include those of privacy, data security, intellectual property rights, and many others. In this paper, we address the privacy problem against unauthorized secondary use of information. To do so, we introduce a family of geometric data transformation methods (...
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Preserving the privacy of individuals when data are shared for clustering is a complex problem. The challenge is how to protect the underlying data values subjected to clustering without jeopardizing the similarity between objects under analysis. In this short paper, we revisit a family of geometric data transformation methods (GDTMs) that distort numerical attributes by translations, scalings,...
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© 2010 Dowon Hong et al. 351 Multiple rotation-based transformation (MRBT) was introduced recently for mitigating the apriori-knowledge independent component analysis (AK-ICA) attack on rotation-based transformation (RBT), which is used for privacy-preserving data clustering. MRBT is shown to mitigate the AK-ICA attack but at the expense of data utility by not enabling conventional clustering. ...
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ژورنال
عنوان ژورنال: Journal of Computer Science
سال: 2008
ISSN: 1549-3636
DOI: 10.3844/jcssp.2008.320.326