ANALYSIS OF PRIVACY PRESERVATION IN POPULATION CENSUS DATA PUBLISHING
Author(s)
Dr. P. Tamil Selvan
Published Date
September 12, 2024
DOI
your-doi-here
Volume / Issue
Vol. 12 / Issue 6
Abstract
The Privacy Preserving Data Mining (PPDM) is used to protect the sensitive information affecting the privacy of individuals. Hiding the sensitive rules of a transactional database in data mining technique provides the confidentiality of both organizations and individuals. The PPDP requires guarantee for hiding sensitive items in an efficient manner. The property of hiding the sensitive item process is employed to minimize the side effects and provide higher data utility. Privacy information includes personal information in business-like social security numbers, home address, credit card numbers, credit ratings, purchasing behavior, medical records and best-selling services. Some of the privacy preserving techniques do not ensure the sensitive information-hiding process. Hence PPDM is implemented for providing several applications such as population census, homeland security, medical database mining and customer transaction analysis.
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