Secure Data Deduplication and Auditing for Cloud Data Storage


Authors : Patil Varsha, Prof. K. N. Shedge.

Volume/Issue : Volume 3 - 2018, Issue 3 - March

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/QTUkd1

Thomson Reuters ResearcherID : https://goo.gl/3bkzwv

To avoid redundant data storage on cloud data, deduplication is important aspect in cloud storage platform. Cross client data deduplication technique is widely used on cloud storage servers. The MLE scheme supports secure data deduplication checking. Along with the data security data integrity is important aspect. This work aims to provide a framework for secure data deduplication and data auditing. UR-MLE2 scheme helps to check deduplication whereas data auditor is responsible for data integrity checking. To improve the system performance dynamic binary decision tree is used to check data deduplication. Dynamic binary tree updates the tree data as per user modification or deletion of user data. The system performance will be evaluated based on execution time.

Keywords : binary decision tree data deduplication, Convergent key, data auditing, message locked encryption.

CALL FOR PAPERS


Paper Submission Last Date
28 - February - 2023

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe