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An Innovative Secure Data Using Cauchy Coding Technique for Cloud Storage
Author Name : Ragavi S, Rizwana Begum M, Suviga A, Vishalini M, Mahalakshmi D
ABSTRACT
Cloud storage is a model of data storage in which the digital data is stored. These cloud storage providers are responsible for keeping the data available and accessible. People and organizations buy or lease storage capacity from the providers to store user, organization or application data. The aim of our project to achieve fault tolerance and avoid redundant data storage in the cloud. Our proposed technique is Cauchy Coding (Caco) approaching. With this technique Cauchy matrix heuristics are used to produce a matrix set. Then for each matrix in this set, CaCo uses XOR schedule heuristics to generate a series of schedules, and then selects the shortest one from them. In this way, each matrix is attached with a locally optimal schedule. Finally, CaCo selects the globally optimal schedule from all the locally optimal schedules. This globally optimal schedule and its corresponding matrix will be stored and then used during data encoding and decoding. CaCo has the ability to identify an optimal coding scheme, within the capability of the current state of the art, for an arbitrary given redundancy configuration. Our investigational results designate that CaCo can obtain an optimal coding scheme.