Safeguarding The Privacy Preservation of Data in Data Mining: A Survey

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Provided by: International Journal for Innovative Research in Science and Technology (IJIRST)
Topic: Big Data
Format: PDF
Sharing, transferring, mining and publishing data are fundamental operations in day-to-day life. Preserving the privacy of individuals is essential one. Sensitive personal information must be protected when data are published. There are two kinds of risks namely attributing disclosure and identity disclosure that affects privacy of individuals whose data are published. Early researchers have contributed new methods namely k-anonymity, l-diversity, t-closeness to preserve privacy. K-anonymity method preserves privacy of individuals against identity disclosure attack alone. But attribute disclosure attack makes compromise this method.
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