Call For Paper Volume:4 Issue:8 Aug'2017 |

Design of ABE for flexible access control and efficiently sharing large files using Hadoop over the cloud

Publication Date : 28/02/2015



Author(s) :

Hemant Bhagwan Shinde , Prof. V.S. Nandedkar.


Volume/Issue :
Volume 2
,
Issue 2
(02 - 2015)



Abstract :

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. Along with Data confidentiality fine grained access control is strongly desired. 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. Attribute based encryption schemes provide the fine grained access to cloud data but computational cost of encryption is increases with complex access policies. In order to alleviate the problems in existing system we proposes the scheme that will use the Hadoop framework which uses the mapreduce technique in order to process all user requests in parallel. In Hadoop HDFS process and stored large amount of data efficiently on distributed environment. we also efficiently revoked the user who will not be able to access to data which he already had access to. Hadoop is a software framework comes with a distributed file system called HDFS (Hadoop Distributed File System) which automatically handles many problems such as task scheduling, fault tolerance and inter-machine communication. 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 which comes with Hadoop.


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Design of ABE for flexible access control and efficiently sharing large files using Hadoop over the cloud

February 18, 2015