A Survey on techniques used in Privacy Preservation for Hiding Sensitive Rules in Data Mining

Data Mining is a process of discovering information or knowledge from the data warehouse. In today's world, people are concerned about their privacy and secrecy. Though data mining has emerged as a significant technology, individual privacy concerns has been growing with the use of this technology. This problem is addressed with a new branch of data mining, known as privacy preserving data mining, which incorporates the mechanism for protecting sensitive information. Privacy preserving data mining deals with hiding an individual's sensitive identity without sacrificing the usability of data. Many organizations and businesses wants to secure their data from illegitimate access. In that priority is given to data privacy and security concerns. It must be necessary for them to share their information about data for the sake of getting satisfactory results. The problem is how these individuals or parties can compare their data or share it without disclosing the sensitive data to each other.