Privacy Measure for Publishing the Data- A Case Study
Chinta Someswara Rao, Bhadri Raju Msvs · 2014
Privacy-maintaining data release is one of the most important challenges in an information system because of the wide collection of sensitive information on the World Wide Web (WWW). Many solutions have been proposed by several researchers for privacy-maintaining data release. This paper provides an inspection of the state-of-the-art methods for privacy protection. The paper discusses novel and powerful privacy definitions which can be categorized into micro data anonymity methods and differential privacy methods for privacy- maintaining data release. The methods include K-anonymity, L-diversity, T-closeness and JS-reduce defense. This paper proposes a study which will provide sequential background knowledge and provides some anonymization.