• Amandeep kaur
• Dr. Dinesh Kumar

Data Mining has been widely used process for extracting useful data from large storage of data. This data mining can be used for different types of large repository of the databases. Like IOT and BIG DATA, Data Warehouse etc. but while extract of mining the data the sensitiveness of the data will be lost. Because it present the data in formatted way to the client who has requested the data. Privacy preservation is the important branch in the data mining field. This field has gained special attention in the now a days. Privacy preserving also protect private and sensitive data from disclosure without the permission of data owners or providers. In this paper various PPDM techniques have been compared on the basic of its advantages and disadvantages. Also discuss the future research that can be taken place in this field.

Privacy preservation, Data mining, Data Perturbation, K-anonymity.

"A REVIEW ON PRIVACY PRESERVATION TECHNIQUES FOR DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.712-715, May-2018, Available :http://www.jetir.org/papers/JETIR1805128.pdf

"A REVIEW ON PRIVACY PRESERVATION TECHNIQUES FOR DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp712-715, May-2018, Available at : http://www.jetir.org/papers/JETIR1805128.pdf