A Hybrid Approach in Privacy Preserving Data Mining

Data Mining

Information sharing between two associations is basic in numerous application areas like business planning or marketing. When information are to be shared between gatherings, there could be a few sensitive data which should not be disclosed to the next parties .Also medical records are more delicate so, privacy protection is taken more seriously. As per requirement by the Health Insurance Portability and Accountability Act (HIPAA), it is necessary to protect the privacy of patients and ensure the security of the medical data. we propose a method called Hybrid approach for privacy preserving. First we randomizing the original data. Then we apply geometric data Transformation on randomized or modified data. Modify k-means clustering algorithm is used to check the correctness. This technique protect private data with better accuracy, also it can reconstruct original data and provide data with no information loss, makes usability of data.

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