Privacy Preservation of Published Data through Record Elimination by Anonymizied Approach

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Provided by: International Journal of Computer Science and Information Technologies
Topic: Big Data
Format: PDF
Data mining is the process of analyzing data. Data privacy is collection of data and dissemination of data. Privacy issues arise in different area such as health care, intellectual property, biological data, financial transaction etc. It is very difficult to protect the data when there is transfer of data. Sensitive information must be protected. There are two kinds of major attacks against privacy namely record linkage and attribute linkage attacks. Research have proposed some methods namely k-anonymity, l-diversity and t-closeness for data privacy.
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