DROPS: Division and Replication of Data in Cloud for Optimal Performance and Security (Preprint-2017)

Aim:

The DROPS methodology, a cloud storage security scheme that collectively deals with the Security and performance in terms of retrieval time. The data file was fragmented and the fragments are dispersed over multiple nodes No node in the cloud, stored more than a single fragment of the same file.

Proposed system:

• Division and Replication of Data in the Cloud for Optimal Performance and Security (DROPS) that collectively approaches the security and performance issues.
• 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.
• The probability to locate and compromise all of the nodes storing the fragments of a single file is extremely low.
• In our project, 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.
• 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.
• We do not rely on traditional cryptographic techniques for data security. The non-cryptographic nature of the proposed scheme makes it faster to perform the required operations (placement and retrieval) on the data.
• We ensure a controlled replication of the file fragments, where each of the fragments is replicated only once for the purpose of improved security.