FINDING DATA DEDUPLICATION USING CLOUD release_yfp6t3zqzjgyfcj4azs7pqt2mu

Abstract

Data grows at the emotional rate of 50% per time, and 75% of the digital world is a copy1 Although keeping multiple clones of data is necessary to guarantee their availability and high continuity and the quantum of data redundancy is inordinate. By keeping a single dupe of repeated data, data deduplication is one of the most promising results to reduce the storage costs, and improve users experience by saving network bandwidth and reducing provisory time. However, this result must now solve many security issues to be fully satisfying. In this project we target the attacks from malicious clients that are grounded on the manipulation of data identifiers and those based on backup time and network traffic observation. Our system provides global storage space savings, per-customer bandwidth network savings between clients and deduplication proxies, and saving global network bandwidth between deduplication proxies and the storage server. The evaluation of our result compared to a classic system shows that the overhead introduced by our scheme is mostly due to data encryption which is necessary to ensure data confidentiality. Data deduplication allows the cloud users to manage their cloud storage space for storing effectively by avoiding storage of repeated data's and save bandwidth. Here we use the Cloud Me for the data storage. For data confidentiality the data are stored in an encrypted form using Advanced Encryption Standard (AES) algorithm.
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