Securely Surveying and Removing Twin Data in Cloud |
Author(s): |
Pritam Subhash Gote , PGMCOE,Wagholi,Pune; Swapnil Ambi, PGMCOE,Wagholi,Pune; Dinesh Divekar, PGMCOE,Wagholi,Pune; Dipak Shinde, PGMCOE,Wagholi,Pune |
Keywords: |
SecCloud, SecCloud++, Deduplication, Encryption, integrity auditing, MapReduce Cloud, Convergent Key |
Abstract |
As the cloud computing technology develops throughout the last decade, outsourcing information to cloud service for storage becomes a beautiful trend, that edges in frugal efforts on significant information maintenance and management. All the same, since the outsourced cloud storage isn't absolutely trustworthy, it raises security issues on a way to understand information deduplication in cloud while achieving integrity auditing. In this work, we tend to study the matter of integrity auditing and secure deduplication on cloud information. Specifically, aiming at achieving each information integrity and deduplication in cloud, we propose two secure systems, specifically SecCloud and SecCloud+. SecCloud introduces associate degree auditing entity with a maintenance of a MapReduce cloud, That helps purchasers generate information tags before uploading likewise as audit the integrity of knowledge having been keep in cloud. Compared with previous work, the computation by user in SecCloud is greatly reduced throughout the file uploading and auditing phases. SecCloud+ is intended motivated by the actual fact that customers invariably wish to write in code their information before uploading, and permits integrity auditing and secure deduplication on encrypted information. |
Other Details |
Paper ID: IJSRDV4I10169 Published in: Volume : 4, Issue : 1 Publication Date: 01/04/2016 Page(s): 81-84 |
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