Privacy Preserving Updates for Anonymzation Data Using ℓ -Diversity

Abstract

To prevent misuse of sensitive data by the unauthorized/application users and provide both privacy and security of the sensitive data. The privacy preservation mechanism is to protect the data from unauthorized user. Privacy Protection Mechanism (PPM) can satisfy privacy requirements such as k-anonymity and l-diversity. The privacy protection mechanism (PPM) is a general method used to transform the original data into some anonymous form to prevent from accessing owners sensitive information. PPM meets privacy requirement through k-anonymity it provides better privacy for the sensitive information which is to sbe shared. The privacy is achieved by the high accuracy of the user information. The ? -diversity method is an extension of the k-anonymity method, it is more efficient than the k-anonymity method. It avoids the attacks like background knowledge attack and others in k-anonymity method. In this paper we analyze ?-diversity method with different techniques.