TRUSTWORTHY AND PRIVACY –ASSURED ELECTRONIC HEALTH RECORD SHARING USING TWO PHASE TOP DOWN APPROACH WITH INCREMENTAL MAP REDUCE TECHNIQUE

Many cloud services allow users to share personal data like health records, financial record and criminal records for data analysis. To fulfill the particular privacy conditions by anonymizing data sets through generalization. K-anonymity technique is mostly used for preserving privacy. Big data trend is used for many cloud applications to store the large amount of data. In cloud to share the huge datasets is difficult for the users and also more memory take to store the data sets in the cloud. So the users cannot able to share the data sets in the cloud due to this problem. To overcome this problem using the incremental mapreduce concept is introduced as proposed. Mapreduce is used to reduce the memory space by storing the count of the repeated word in the datasets. Incremental mapreduce concept is used to share the mongoDB datasets. It splits the data set and decreases the redundant data in the datasets. So the user can easily share the data among the users.