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  4. An Efficient Public Auditing Protocol with Novel Dynamic Structure for Cloud Data - 2017
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Category: MTech Java Projects
By MTech Projects
MTech Projects
15.Mar
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An Efficient Public Auditing Protocol with Novel Dynamic Structure for Cloud Data - 2017

PROJECT TITLE :

An Efficient Public Auditing Protocol with Novel Dynamic Structure for Cloud Data - 2017

ABSTRACT:

With the speedy development of cloud computing, cloud storage has been accepted by an increasing number of organizations and people, therein serving as a convenient and on-demand outsourcing application. But, upon losing native control of knowledge, it becomes an urgent need for users to verify whether cloud service suppliers have stored their knowledge securely. Hence, many researchers have devoted themselves to the design of auditing protocols directed at outsourced information. In this paper, we have a tendency to propose an efficient public auditing protocol with international and sampling blockless verification and batch auditing, where data dynamics are substantially additional efficiently supported than is that the case with the cutting-edge. Note that, the novel dynamic structure in our protocol consists of a doubly linked info table and a location array. Moreover, with such a structure, computational and communication overheads will be reduced substantially. Security analysis indicates that our protocol will achieve the specified properties. Moreover, numerical analysis and real-world experimental results demonstrate that the proposed protocol achieves a given efficiency in practice.

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Previous article: VOD-ADAC: Anonymous Distributed Fine-Grained Access Control Protocol with Verifiable Outsourced Decryption in Public Cloud - 2017 VOD-ADAC: Anonymous Distributed Fine-Grained Access Control Protocol with Verifiable Outsourced Decryption in Public Cloud - 2017 Next article: Correlation Modeling and Resource Optimization for Cloud Service with Fault Recovery - 2017 Correlation Modeling and Resource Optimization for Cloud Service with Fault Recovery - 2017
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