Drops: Division And Replication Of Data In Cloud For Optimal Performance And Security

ABSTRACT

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 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. 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. Moreover, 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. We also compare the performance of the DROPS methodology with ten other schemes. The higher level of security with slight performance overhead was observed.

AIM

The aim of this paper is Division and Replication of Data in the Cloud for Optimal Performance and Security (DROPS) that collectively approaches the security and performance issues.

SCOPE

The scope of this paper is 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.

EXISTING SYSTEM

The off-site data storage cloud utility requires users to move data in cloud’s virtualized and shared environment that may result in various security concerns. Pooling and elasticity of a cloud, allows the physical resources to be shared among many users. The data outsourced to a public cloud must be secured. Unauthorized data access by other users and processes (whether accidental or deliberate) must be prevented As discussed above, any weak entity can put the whole cloud at risk. In such a scenario, the security mechanism must substantially increase an attacker’s effort to retrieve a reasonable amount of data even after a successful intrusion in the cloud.

DISADVANTAGES

1.  The data compromise may occur due to attacks by other users and nodes within the cloud.
2. The  employed security strategy must also take into account the optimization of the data retrieval time

 PROPOSED SYSTEM

In this paper, we collectively approach the issue of security and performance as a secure data replication problem. We present Division and Replication of Data in the Cloud for Optimal Performance and Security (DROPS) that judicially fragments user files into pieces and replicates them at strategic locations within the cloud. The division of a file into fragments is performed based on a given user criteria such that the individual fragments do not contain any meaningful information. Each of the cloud nodes (we use the term node to represent computing, storage, physical, and virtual machines) contains a distinct fragment to increase the data security.

ADVANTAGES

 •       The implications of TCP in cast over the DROPS methodology need to be studied that is relevant to distributed data storage and access.

•     To improve data retrieval time, the nodes are selected based on the centrality measures that ensure an improved access time.

SYSTEM ARCHITECTURE:-

SYSTEM CONFIGURATION

Hardware Requirements

• Speed                  -    1.1 Ghz
• Processor              -    Pentium IV
• RAM                    -    512 MB (min)
• Hard Disk            -    40 GB
• Key Board                    -    Standard Windows Keyboard
• Mouse                  -    Two or Three Button Mouse
• Monitor                -     LCD/LED

 Software requirements

• Operating System              : Windows 7             
•  Front End                           : ASP.Net and C#
• Database                             : MSSQL
• Tool                                    : Microsoft Visual studio

REFERENCE

Mazhar Ali, Kashif Bilal, Samee U. Khan “DROPS: DIVISION AND REPLICATION OF DATA IN CLOUD FOR OPTIMAL PERFORMANCE AND SECURITY,” IEEE TRANSACTIONS ON CLOUD COMPUTING VOL PP,ISS 99, February 2015.