Data Mining can be referred as knowledge extraction, information harvesting and pattern analysis and business intelligence by knowledge discovery techniques. It can also be said as explosive growth of data from terabytes to petabytes. Although this leads us to the security and privacy issues of individual’s delicate information. PPDM one of the newest topic i.e. Privacy Preserving Data Mining, that has emerged in present years. PPDM basically gives idea to reform the data in a way so as to execute data mining methods in an effective manner without adjusting the privacy of information present in the data. Recent studies of PPDM primarily centre on how to minimize the security risk arise by data mining methods. This paper mainly deals with the security issues faced while using data mining technique from an expanded proportion and review different processes that can help to secure the information. The basic idea here is to identify various types of users who face security issues regarding data mining applications. And for each of them individually debate on their confidentiality concern and the approach that can be adopted to save their information. We shortly discuss the key points of researched topics and then define states of approaches and also provide some essential ideas on future research. © 2016, International Journal of Pharmacy and Technology. All rights reserved.