Paper Details

The use of cloud storage is increasing rapidly over a decade and hence maintaining efficiency of these cloud storage becomes extremely important issue. Main issue that hinders the cloud efficiency is the data redundancy. Hence eliminating data redundancy is very necessary. There are many methodologies which could tackle the issue but most effective technique is to deploy an effective deduplication scheme over the cloud data which could eliminate duplication amongst the files stored on the cloud, hence only unique data can be stored on cloud thereby improving its space complexity.There are many methodologies and theories which highlight on use of deduplication in cloud like- Data Deduplication over unencrypted data, Application aware data deduplcation schemes, etc. Most of these systems for deduplication have some performance issues that can lead to lower accuracy of the technique.This paper proposes a novel deduplication scheme over the data in which every unique file on the cloud will generate a unique hash key which will be maintained by the mechanism called bloom filter. The deduplication will be done on basis of the hash key generated and later the data will be encrypted and stored on the cloud.Keywords—deduplication, Hash key generation, cloud storage, RCC encryption, Bloom filter.

Upendra A. Joshi, AshishU. Kulkarni, Yuvraj V. Mogal, Prof.B.L. Dhote, “A Heuristic method to Enhance data deduplication process in cloud Group Members”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 5, pp. 841-847, May 2017.