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Secure Auditing and Deduplicating Data in Cloud

ABSTRACT

In this project, we investigate the problem of integrity auditing and secure deduplication on cloud data. Specifically, aiming at achieving both data integrity and deduplication in cloud, we propose two secure systems, namely Integrity Auditing and Secure Deduplication. Integrity Auditing introduces an auditing entity with a maintenance of a Map Reduce cloud, which helps clients generate data tags before uploading as well as audit the integrity of data having been stored in cloud. Secure Deduplication is able to reduce the storage space by keeping only one copy of the same file. Notice that, regarding to secure deduplication, our objective is distinguished from previous work in that we propose a method for allowing both deduplication over files and tags.

EXISTING SYSTEM	PROPOSED SYSTEM
EXISTING CONCEPT:- Existing commercial clouds audit the cloud files and usually allow data duplication. High communication cost	PROPOSED CONCEPT: - In our proposed system duplicating data in cloud is not possible.  Low communication cost.
EXISTING TECHNIQUE:- Integrity Auditing Protocol	PROPOSED TECHNIQUE:- Secure Deduplication
TECHNIQUE DEFINITION:- An integrity auditing protocol is sound if any cheating cloud server that convinces the verifier that it is storing a file F is actually storing this file. To capture this spirit, we define its game based on Proof of Retrievability (PoR).	TECHNIQUE DEFINITION:- Deduplication is a technique where the server stores only a single copy of each file, regardless of how many clients asked to store that file, such that the disk space of cloud servers as well as network bandwidth are saved.
DRAWBACKS:- Allows data duplication. High communication cost	ADVANTAGES:- Duplicating data in cloud is not possible.  Low communication cost.