Disclosure Protection of Sensitive Attributes in Collaborative Data Mining

Provided by: International Journal Of Engineering And Computer Science
Topic: Big Data
Format: PDF
In collaborative data mining, data sets from various parties are submitted to a third party where they are combined, privacy of each data sets' sensitive attributes are protected and data mining is carried out. In privacy preserving data mining, there is a need to extract knowledge from databases without disclosing information about individuals. Each participant will have sensitive and non-sensitive data in their local database. Therefore the most important challenge in privacy preserving multi party collaborative data mining is how these multiple parties conduct data mining without disclosing each participant's sensitive data.

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