• Jinal Upadhyay

Data sharing between two individuals, organization or association is normal in numerous application zones like data sharing for any reason. At the point when information is to be shared between two people, organizations, there could be some delicate information, which ought not to be uncovered to the next parties. If that information will unveil that will mess up a specific person. Clinical records are progressively touchy along these lines; security insurance is paid attention to increasingly about clinical information. According to the prerequisite by the Health Insurance Portability and Accountability Act (HIPAA), it is important to secure the protection of patients and guarantee the security of the clinical information. We propose a strategy called the Hybrid methodology for security saving utilizing grouping. To start with, we randomizing the first information. At that point, we apply speculation on the randomized or adjusted information. This method ensures private information with better precision, additionally, it can remake unique information and give information no data misfortune, no character exposure, and gives get to control of the information to specific people and makes the ease of use of information.

Privacy, Privacy Preservation, Clustering,K-means,K-anonymity

"ADVANCE SCHEME FOR PRIVACY PRESERVATION ON DATA USING CLUSTERING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.1431-1434, June-2020, Available :http://www.jetir.org/papers/JETIR2006210.pdf

"ADVANCE SCHEME FOR PRIVACY PRESERVATION ON DATA USING CLUSTERING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1431-1434, June-2020, Available at : http://www.jetir.org/papers/JETIR2006210.pdf