Secure Fine grains Updates in Cloud using Public Auditing

Data security in computing of computers on internet has become the most major worries as user of cloud cannot control the data directly. Data integrity is to be verified without actual possession of data in present system. This paper proposes a scheme for authorized public auditing and fine grained updates which reduces communication overhead for small update request. Results of experiments conducted till now shows that our scheme can offer improved security, flexibility, and less overhead for processing big data applications.