International Journal of Advanced Research in Computer Science & Technology (IJARCST)
In this paper, the authors focused on identification disclosure of individuals. To prevent this they can anonymize public dataset to limit disclosure of the data records by using different generalization techniques. Many organizations & institutes use public data for their personal interest, it leads to violation of data privacy of some individuals .There are many cases that even after removing private data, such as name, address, individual privacy can be comprised by combining attributes from the database. These joined attributes are named as quasi-identifier. Now, they apply generalization on the quasi-identifier to make them resemble with each other.