Contact Project Developer Ashish D. Tiwari [astiwz@gmail.com]
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Secure Big Data Storage and Sharing Scheme for Cloud Tenants

The Cloud is increasingly being used to store and process big data for its tenants and classical security mechanisms using encryption are neither sufficiently efficient nor suited
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Secure Big Data Storage and Sharing Scheme for Cloud Tenants

Abstract:

The Cloud is increasingly being used to store and process big data for its tenants and classical security mechanisms using encryption are neither sufficiently efficient nor suited to the task of protecting big data in the Cloud. In this paper, we present an alternative approach which divides big data into sequenced parts and stores them among multiple Cloud storage service providers. Instead of protecting the big data itself, the proposed scheme protects the mapping of the various data elements to each provider using a trapdoor function. Analysis, comparison and simulation prove that the proposed scheme is efficient and secure for the big data of Cloud tenants.

Existing system:

The big data is a term applied to data sets whose size is beyond the ability of commonly used software systems to store, manage, and process within a tolerable elapsed time. Big data sizes are a constantly moving target, currently ranging from a few dozen terabytes to many peta bytes of data in a data center. A data center ]mainly focuses on the storing and processing, security. of big data sets, real-time data mining, and streaming media delivery.

Proposed System:

A secure big data protected scheme for cloud tenants is proposed. In Section IV, we give a detailed analysis and comparison among the proposed scheme and other schemes; In cloud computing, big data storage services represent a basic function for their tenants. In the proposed scheme, firstly, tenants’ big data will be separated into many sequenced parts before storage, and then will be stored on different storage media owned by different cloud storage providers. When tenants access their data, the data parts in different data centers will be collected together and then be restored into original form based on the sequenced number of each data part. Generally, the tenants’ big data which is stored in cloud storage can be classified into public data and confidential data. There are no extra security requirements for public data, and each tenant can access these data freely, on the other hand, confidential data should always be kept secret and inaccessible to irrelevant persons or organizations.

Architecture Diagram:


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