مشاهده مشخصات مقاله
K-Anonymity Privacy Protection Using Ontology
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نویسنده (ها) |
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Maedeh Ashouri Talouki
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Mohammad-ali NematBakhsh
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Ahmad Baraani
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مربوط به کنفرانس |
چهاردهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
Blinded data mining is a branch of data mining
technique which is focused on protecting user privacy.
To mine sensitive data such as medical information, it
is desirable to protect privacy and there is not worry
about revealing personalized data. In this paper a new
approach for blinded data mining is suggested. It is
based on ontology and k-anonymity generalization
method. Our method generalizes a private table by
considering table fields ontology, so that each tuple
will become k-anonymous and less specific to not
reveal sensitive information. This method is
implemented using protégé and java for evaluation. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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خرید مقاله
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