Privacy Preservation of Published Data Using Anonymization Technique

Provided by: International Journal of Computing Science and Information Technology (IJCSIT)
Topic: Big Data
Format: PDF
Data privacy is collection of data and dissemination of data. How the authors analyze the data is called as data mining? Need of data privacy arise in different area such as health care, intellectual property, biological data, financial transaction etc. It is very difficult to preserve privacy of the data when there is transfer of data. Sensitive information must be protected. Mainly there are two kinds of major attacks against privacy namely record linkage and attribute linkage attacks. Some methods are proposed namely k-anonymity, l-diversity and t-closeness for data privacy.

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