Increased Performance In Resource Allocation System

Authors

  • Janakiraman M  UG Scholar, Department of Computer Science and Engineering, Akshaya College of Engineering and Technology, Coimbatore, Tamil Nadu, India
  • Bala Murali Krishnan J  Asststant Professor, Department of Computer Science and Engineering, Akshaya College of Engineering and Technology, Coimbatore, Tamil Nadu, India
  • Nickelson S  
  • Nihas Ahamed I  
  • Ms. K.Veena  

Keywords:

Cloud Computing. Cloud Storage, Integrity, Privacy-preserving, TPA.

Abstract

Using Cloud Storage, users can remotely store their data and enjoy the on-demand high quality applications and services from a shared pool of configurable computing resources, without the burden of local data storage and maintenance. However, the fact that users no longer have physical possession of the outsourced data makes the data integrity protection in Cloud Computing a formidable task, especially for users with constrained computing resources. Moreover, users should be able to just use the cloud storage as if is local, without worrying about the need to verify its integrity. Thus, enabling public auditability for cloud storage is of critical importance, so that users can resort to a third party auditor (TPA) to check the integrity of outsourced data and be worry-free. To securely introduce an effective TPA, the auditing process should bring in no new vulnerabilities towards user data privacy, and introduce no additional online burden to user. In this paper, propose a secure cloud storage system supporting privacy-preserving public auditing. Further extend our result to enable the TPA to perform audits for multiple users simultaneously and efficiently. Extensive security and performance analysis show the proposed schemes are provably secure and highly efficient.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-04-30

Issue

Volume 7, Issue 2, March-April-2021

Section

Research Articles

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Copyright (c) IJSRCSEIT

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Janakiraman M, Bala Murali Krishnan J, Nickelson S, Nihas Ahamed I, Ms. K.Veena, " Increased Performance In Resource Allocation System, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 2, pp.425-431, March-April-2021.