Enhanced Security for Two Party Confidential Data

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Provided by: International Journal of Engineering Sciences & Research Technology (IJESRT)
Topic: Security
Format: PDF
Data mining is the process of extracting hidden predictive information from large databases to support decision making process. There may be a chance of revealing sensitive information stored in dataware house during extraction of hidden details. To protect this consequence a method is proposed to securely integrate person-specific sensitive data from two data providers, whereby the integrated data still retains the essential information for supporting data mining tasks. Most real-life scenarios are in need for simultaneous data sharing and privacy preservation of person sensitive data.
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