Generalized Approach for Data Anonymization Using Map Reduce on Cloud

Data anonymization has been extensively studied and widely adopted method for privacy preserving in data publishing and sharing scenario. Data anonymization is hiding up of sensitive data for owner’s data record to avoid unidentified Risk. The privacy of an individual can be effectively preserved while some aggregate information is shared to data user for data analysis and data mining. The proposed method is Generalized method data anonymization using Map Reduce on cloud. Here we Two Phase Top Down specialization. In First Phase the original data set is partitioned into group of smaller dataset and they are anonymized and intermediate result is produced. In second phase the intermediate result first is further anonymized to achieve consistent data set. And the data is presented in generalized form using Generalized Approach.