Secure Parallel Processing on Encrypted Cloud Data Using Fully Homomorphic Encryption

Cloud computing is not our system hard drive; we are using to store the huge amount of data and programs on cloud. Cloud also provides the access to stored data and programs through internet. Cloud computing provide the OnDemand services to user's, client's, organizations and etc. Client's stores the data on cloud in the encrypted form. Homomorphic encryption enables cloud computing to perform the operations on the encrypted cloud data. Fully-homomorphic encryption supports to perform multiple types of operations on encrypted cloud data. But performing the fully-homomorphic encryption (computations on encrypted cloud data) on a single node or in sequential process took the more processing time and memory than the performing the same operations on the plain text (unencrypted data). Parallel processing enables to perform operations on multiple nodes it will take lesser time to complete the applied operation than the sequential process. In this presenting work shows the parallel processing of fully homomorphic encryption on encrypted cloud data. Here Gentry's encryption algorithm is used to perform FHE o multiple nodes. This parallel processing produces the better performance than the performing operation on sequential process. And also security is a major concern in cloud computing. Here also shows another work on Data partitioning method is used to improve the security of client data on cloud. Client data will be divided into multiple parts of chunks with equal size and store on different server. And public is generated on client side; this public key is used to store and retrieve data from cloud storage.