A Survey on protecting information in datasets

Privacy preserving in data mining plays a vital role in which one can more likely enters in a system with privacy assurance. Many times data in a datasets are correlated with each other, therefore chances of data leakage is more. So that issue regarding privacy has been occurred. To overcome this privacy issues different mechanisms are used, like Correlated Iteration Mechanism (CIM), relaxed admissible mechanism, Privacy preservation approach via data set complementation. Also to preserve privacy in dataset different clustering algorithm is used like K-Means and tree based traversing technique is used for hiding information in dataset. This paper presents survey on different mechanism as well as algorithms that how the sensitive information can be protected.