A SURVEY ON PRIVACY PRESERVING IN DATA MINING
SUDHA. S, Dr. P. LOGESWARI · International Journal of Computer Science Engineering and Technology · 2021
Privacy has gotten significant in information-based applications. Legitimate reconciliation of individual protection is fundamental for data mining activities. This protection based data mining is significant for areas like Healthcare, Pharmaceuticals, Research, and Security Service Providers, to give some examples. The fundamental arrangement of Privacy Preserving Data Mining (PPDM) strategies falls into Perturbation, Secure Sum Computations and Cryptographic based methods. There exist tradeoffs between security conservation and data misfortune for summed up arrangements. In this paper we survived 15 Literature survey for Privacy Preserving in Data Mining. Ongoing advances in the Internet, in data mining, and in security advances have led to another surge of examination, known as preserving data mining (PPDM). PPDM advances permit us to extricate pertinent information from a lot of information, while conceal touchy information or data from exposure.