Browsing by Author "RASHMI M"

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    HEAP KEY SHARING
    (2019-07-04T08:11:39Z) RASHMI M
    Online data sharing for increased productivity and efficiency is one of the primary requirements today for any organization. The advent of cloud computing has pushed the limits of sharing across geographical boundaries, and has enabled a multitude of users to contribute and collaborate on shared data. However, protecting online data is critical to the success of the cloud, which leads to the requirement of efficient and secure cryptographic schemes for the same. Data owners would ideally want to store their data/files online in an encrypted manner, and delegate decryption rights for some of these to users, while retaining the power to revoke access at any point of time. An efficient solution in this regard would be one that allows users to decrypt multiple classes of data using a single key of constant size that can be efficiently broadcast to multiple users. In cloud storage data sharing is an important utility. Most of the users attracted by cloud storage because of its numerous benefits. The idea of Key Aggregate Searchable Encryption is build through a concrete KASE scheme. In this scheme data owner distribute single trapdoor to the cloud. In this paper , we used multi cloud for storing & accessing the large amount of data because in cloud environment, large amount of data produced everyday. So, demands for resource is increasing but still clients are worrying about their data is correctly stored & maintained by providers without intact. In this scheme , data owner upload file on multi cloud by splitting files into no. of equal size & store it on multi cloud. User using shared key by data owner, submit single trapdoor to cloud for searching the documents or files. Then after completion of search merge this file parts and then user can download this documents. The security examination and execution evaluation both certify that our propose arrangements are provably secure and basically beneficial. Hence this paper, we are use multi cloud to reduce storage overhead of the customer by compressing the data and reduce computational overhead of the cloud storage server.