Dynamic Big Data Storage on Cloud with Efficient Verifiable Fine-grained Updates using Secure Erasure Code-Based Cloud Storage System

Abstract

 Cloud computing opens a new era in IT as it can provide various elastic and scalable IT services in a payas-you-go fashion, where the users can reduce the huge capital investments in their own IT infrastructure. The users of cloud storage services have no control over their data, which makes data security, one of the major concerns of using cloud. The existing system allows data integrity to be verified without possession of the actual data file. The verification done by a trusted third party is called data auditing, and the third party is called an auditor. The main drawback in auditing is the any person can challenge with the service provider for integrity of data. Based on this scheme, an enhancement can dramatically reduce communication overheads for verifying small updates. This scheme can offer not only enhanced security and flexibility, but also significantly lower overhead for big data applications with a large number of frequent small updates.

Authors and Affiliations

Suganya . S*1,

Keywords

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  • EP ID EP163887
  • DOI -
  • Views 83
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How To Cite

Suganya . S*1, (30).  Dynamic Big Data Storage on Cloud with Efficient Verifiable Fine-grained Updates using Secure Erasure Code-Based Cloud Storage System. International Journal of Engineering Sciences & Research Technology, 3(5), 601-605. https://europub.co.uk/articles/-A-163887