Several data mining processes include privacy preservation in order to avoid disclosure of sensitive information while discovering knowledge. Data mining algorithms uses numerous modification techniques to construct models or patterns from private data. It is essential to evaluate the quality of the data resulting from the alteration applied by each algorithm, as well as the performance of the algorithms. Hence it is required to identify a broad set of decisive factors with respect to which to assess the existing algorithms and determine which algorithm meets specific requirements. This paper discusses the working of the cryptographical techniques and its usage in privacy preserving data mining. The performances of these procedures are analyzed indicating their level of privacy maintained.