Author(s): Sibi.R, Valarmathi.V

In data mining various techniques are supported to form the strong security. The security is major purpose for data now-a-days. Data mining is extensively used for knowledge discovery from large databases. A fundamental challenge is to develop privacy and security methods appropriate for data mining. It is a large dataset. Privacy is one of the most important properties of an information system must satisfy, in which systems the need to share information among different, not trusted entities, the protection of sensible information has a relevant role. The various techniques that used for privacy purpose are privacy preserving data mining, cryptography, sensors in DM, cloud computing. This paper addresses the privacy problem survey by considering the privacy and algorithmic requirements simultaneously. In this survey, how the data is secured and sensing in various technologies.