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DROPS: Division and Replication of Data in Cloud for Optimal Performance and Security

ABSTRACT

In this paper, we propose Division and Replication of Data in the Cloud for Optimal Performance and Security (DROPS) that collectively approaches the security and performance issues.  Outsourcing data to a third-party administrative control, as is done in cloud computing, gives rise to security concerns. The data compromise may occur due to attacks by other users and nodes within the cloud. Therefore, high security measures are required to protect data within the cloud. However, the employed security strategy must also take into account the optimization of the data retrieval time.

In the DROPS methodology, we divide a file into fragments, and replicate the fragmented data over the cloud nodes. Each of the nodes stores only a single fragment of a particular data file that ensures that even in case of a successful attack, no meaningful information is revealed to the attacker. The nodes storing the fragments are separated with certain distance by means of graph T-coloring to prohibit an attacker of guessing the locations of the fragments. Furthermore, the DROPS methodology does not rely on the traditional cryptographic techniques for the data security.

EXISTING SYSTEM	PROPOSED SYSTEM
EXISTING CONCEPT:- In existing, the security issue is main thing for the users because data compromise may occur due to attacks by other users and nodes within the cloud.   The data will be loss because of security issues. Therefore, high security measures are required to protect data within the cloud.	PROPOSED CONCEPT:- Our proposed approach consists of Division and Replication of Data in the Cloud for Optimal Performance and Security (DROPS) that collectively approaches the security and performance issues. We divide a file into fragments, and replicate the fragmented data over the cloud nodes. Each of the nodes stores only a single fragment of a particular data file.
EXISTING TECHNIQUE:- Space efficient Technique	PROPOSED TECHNIQUE:- A-star based searching Technique(DRPA-star)
TECHNIQUE DEFINITION:- This technique has no file fragmentation is happening and also maintaining full file copies in the storage. In this any unauthorized users can stole the data’s of the users.	TECHNIQUE DEFINITION:- We develop a scheme for outsourced data that takes into account both the security and performance. The proposed scheme fragments and replicates the data file over cloud nodes. The proposed DROPS scheme ensures that even in the case of a successful attack, no meaningful information is revealed to the attacker
DRAWBACKS:-      Data’s are not secure.      No file fragmentation is in existing system.	ADVANTAGES:- Data’s will be highly securable.  Each of the fragments is replicated only once for the purpose of improved security.