Implementation of ABE for flexible access control and efficiently storing large files using hadoop framework in cloud

Cloud computing is the internet based technology widely used in IT industry. Cloud provides everything as a service over internet such as IaaS, PaaS, and SaaS. There are various security and privacy issues on outsourced data. There are various access control schemes employing Attribute based encryption have been proposed; many of them suffer from inflexibility in implementing complex access control policies. Existing system uses the FTP protocol to stored data on cloud so as the file size increases the Upload time will also increases which are reverse in proposed system. The scheme that we proposed will use the Hadoop framework which uses the mapreduce technique in order to process all user request in parallel and HDFS process and stored large amount of data efficiently on distributed environment and we also efficiently revoked the user who will not be able to access to data which he already had access to. So these things can be easily handled with the help of Hadoop. Use of HDFS helps in storing the large amount of data on cloud in short time. Data stored in HDFS can be processed using Map Reduce programming model comes with Hadoop.