Dynamic and Public Auditing with Fair Arbitration for Cloud Data

Authors

  • Amit Kumar Pandey Kopal Institute of Science & Technology, CSE, Bhopal (M.P)
  • Prof. Nitin Choudhary Kopal Institute of Science & Technology. CSE, Bhopal (M.P)

Keywords:

Encryption algorithm, Dynamic Auditing, Data integrity, Fairness Protocol

Abstract

Cloud users no longer physically hold their data, so how to protect the nobility of their outsourced data becomes a challenging task. In Cloud, privacy protection of data is also an important feature of cloud storage auditing. In order to lower the computational load of the client, a third-party auditor (TPA) is introduced to help the client to periodically check the integrity of the data in cloud. it is feasible for the TPA to get the client’s data after it executes the auditing protocol multiple times. Auditing protocols are designed to ensure the privacy of the client’s data in cloud. Another aspect having been addressed in cloud storage auditing is how to support data dynamic operations. I have proposed an auditing protocol supporting fully dynamic data operations including modification, insertion and deletion.

References

G. Ateniese, R. Burns, R. Curtmola, J. Herring, L. Kissner, Z. Peterson, and D. Song, “Provable Data Possession at Untrusted Stores,” Proc. 14th ACM Conf. Computer and Comm. Security, pp. 598-609, 2007.

G. Ateniese, R.D. Pietro, L. V. Mancini, and G. Tsudik, “Scalable and Efficient Provable Data Possession,” Proc. 4th International Conference on Security and Privacy in Communication Networks, 2008

F. Sebe, J. Domingo-Ferrer, A. Martinez-balleste, Y. Deswarte, and J. Quisquater, “Efficient Remote Data Integrity checking in Critical Information.

Downloads

Published

30-06-2017

How to Cite

Amit Kumar Pandey, & Prof. Nitin Choudhary. (2017). Dynamic and Public Auditing with Fair Arbitration for Cloud Data. International Journal for Research Publication and Seminar, 8(6). Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/1124

Issue

Section

Original Research Article