An Efficient Privacy Preserving Data Publishing Models for Relational Datasets

Abstract

Privacy is a significant issue that requires consideration in all applications. Data collected from various individuals and organizations must be disclosed to the public or private parties for analysis and research purposes. The collected data are studied and analyzed digitally for the extraction of various useful patterns for decision-making research purposes. Many privacy laws are available for the protection of information relating to individuals and organizations. However, the related laws differ from domain to domain. The data must be disclosed to the researchers despite the significant danger of leaking sensitive attributes to retrieve relevant information. Misinterpretation of personal data might have negative consequences also. The primary objective for disclosing the data is to use the individual s data for good reasons. The sensitive attribute in the datasets differs according to the applications newline