Fragmentation of Data in Large-Scale System For Ideal Performance and Security

Abstract

Cloud computing is becoming prominent trend which offers the number of significant advantages. One of the ground laying advantage of the cloud computing is the pay-as-per-use, where according to the use of the services, the customer has to pay. At present, user's storage availability improves the data generation. There is requiring farming out such large amount of data. There is indefinite large number of Cloud Service Providers (CSP). The Cloud Service Providers is increasing trend for many number of organizations and as well as for the customers that decreases the burden of the maintenance and local data storage. In cloud computing transferring data to the third party administrator control will give rise to security concerns. Within the cloud, compromisation of data may occur due to attacks by the unauthorized users and nodes. So, in order to protect the data in cloud the higher security measures are required and also to provide security for the optimization of the data retrieval time. The proposed system will approach the issues of security and performance. Initially in the DROPS methodology, the division of the files into fragments is done and replication of those fragmented data over the cloud node is performed. Single fragment of particular file can be stored on each of the nodes which ensure that no meaningful information is shown to an attacker on a successful attack. The separation of the nodes is done by T-Coloring in order to prohibit an attacker to guess the fragment's location. The complete data security is ensured by DROPS methodology.