DEVELOPING A MODEL BASED ON PRIVACY PRESERVING DATA MINING (PPDM) SYSTEMS TO ENHANCE THE SECURITY SAFEGUARD ON MEDICAL DATABASES

Vipul Goyal

Vol. 4, Jan-Dec 2018

Page Number: 247-257

Abstract:

For both the generation and utilization of information, the web is turning into a standard though the security for private information is progressively diminishing. In this way, to have a protected exchange in the information, security and protection would be the key issues to be considered. As of late, security has become a key issue in numerous information mining and information disclosure fields which lead to the advancement of numerous Privacy-Preserving Data Mining (PPDM) systems. In our work, we utilize not many of these methods to secretly save the information holder, for example, emergency clinic information. In this, we use methods named "Anonymization", "Concealment", "Speculation" and "Information Hiding" on various fields for the information to be progressively secure and venture the information which is helpful to general society. This is another method for our way to deal with make mindfulness among general society to be progressively mindful and wellbeing cognizant. The changed information is grouped dependent on infections. In view of the end client necessity, the private information of the individual is covered up and the necessary information is anticipated.

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